All deprecated arguments have been removed.
The table_width argument in
export_table() now defaults to
"auto".
get_transformation() can now deal with any
power-transformation, and also returns results for divisions (scaled
response) and Box-Cox transformations.
find_transformation() and
get_transformation() now also detects use of divisions,
like x/3 or Box-Cox transformations (like
(x^lambda - 1) / lambda).
find_transformation() and
get_transformation() get a include_all
argument, to check all model terms for transformations.
get_dispersion() is now an exported
function.
Updated get_varcov() (and related documentation) to
support new covariance matrix estimation methods from the
sandwich package.
New function validate_argument() as a replacement
for match.arg() with more informative error
message.
The function to calculate the corrections for likelihood-values
when the response-variable is transformed is now exported as
get_likelihood_adjustment().
export_table() can now split tables into more than
three tables when table_width is used (formerly, the
maximum number of split tables was three).
Changed (improved) formatting for parameter tables in
export_table(), when format = "html". Rows are
indented, and group headers are emphasized in italic.
formula_ok() now also checks for syntactically
invalid variable names. Furthermore, argument checks now
allows to specify for which possibly problematic formula notation should
be checked.
format_value() gains a decimal_point
argument, to change the decimal point in output conversion.
format_bf() with stars = TRUE uses the
° symbol for inferiority (evidence against the
comparison).
Added support for coxph.panel models.
Added support for models of class asym (package
panelr).
Overhaul of documentation for the package-functions.
clean_parameters() now uses the correct labels for
the random effects variances ("SD/Cor" has changed to
"Var/Cov").
When get_data() could not properly evaluate the
subset of a data set, it now returns an informative warning and no
longer errors.
Fixed inaccuracy in get_sigma() for models of class
brmsfit.
Fixed issues in get_variance() for models of class
brmsfit when the sigma-parameter was directly modeled.
Fixed issue in compact_character() and
compact_list() for date-variables.
Fixed edge case in find_transformation() for simple
log-transformation of the response variable.
Fixed issue for model_info.averaging().
get_datagrid() can now be used to extract the “grid”
information from {emmeans} and
{marginaleffects} outputs.
Arguments na.rm and na_rm are
deprecated throughout the package’s functions. Instead, use
remove_na.
Fixed rendering issue of the example in
?insight::display.
Fixed issues due to recent changes in the glmmTMB package.
glm_weighit,
multinom_weightit and ordinal_weightit
(package WeightIt).null_model() and formula_ok() now warn
when indexed data frames, such as df[, 5], are used as
response variable in the formula, as this can lead to unexpected
results.
Minor improvements to link_function() and
link_inverse().
Fixed regression from latest fix related to
get_variance() for brms models.
Fixed issue in link_function() and
link_inverse() for models of class cglm with
"identity" link, which was not correctly recognized due to
a typo.
get_df() now supports more model classes.
get_variance() gives an informative error if no
mixed model is provided.
Fixed issue in find_formula(),
find_predictors() and find_variables() for
models from package brms with custom formulas.
Fixed issues in find_response() for brms
models with mi() function in the response
variable.
Fixed issue in get_variance() that could lead to
recursive calls for brms models, resulting in “infinite”
resampling of the model.
Fixed issue in check_if_installed() that erroneously
tried to guess the minimum required package version based on the SUGGEST
field of the insight package, instead of the package that was
calling the function.
Fixed issue in get_modelmatrix() for models from
package brms with special functions in the formula (like
mo()).
Fixed issue in ellipses_info() when this function
was called from do.call().
Fixed issue with formatting unicode-symbols, where a wrong unicode-character was used for “Omega”. Furthermore, Omega2 and Eta2 are now correctly converted.
Support for models of class glmgee (package
glmtoolbox).
Support for models of class svy2lme (package
svylme).
Massive overhaul of get_variance(). The function
should be now more accurate for different distributional families, in
particular for mixed regression models with Beta family.
Improved accuracy of singularity-checks in
get_variance().
get_variance() gets a few new arguments:
null_model, to provide a null-model to be used for
the calculation of random effect variances. If NULL, the
null-model is computed internally. This argument is optional, but may be
useful to save time, or when the null-model cannot be calculated
internally.
approximation, indicating the approximation method
for the distribution-specific (observation level, or residual)
variance.
model_component, for models that can have a
zero-inflation component, specify for which component variances should
be returned. By default, both the conditional and the zero-inflation
component are taken into account.
format_alert() and format_warning() get
an immediate argument, to output warnings
immediately.
find_terms() and find_transformation()
now better cope with inverse transformations of the response value, such
as 1/y.
get_transformation() now returns more
transformations for power-transformed response variables.
model_info() for MixMod objects from
package GLMMadaptive now recognize zero-inflation and hurdle
models for custom families.
null_model() now correctly handles zero-inflated
models from package glmmTMB.
Fixed issue in null_model() for models from package
GLMMadaptive.
Fixed issues in link_inverse() and
link_function() for models of class gamlss
from LOGNO() family.
at was used in get_datagrid().Arguments named group, at,
group_by and split_by will be deprecated in
future releases of easystats packages. Please use
by instead. This affects following functions in
insight:
export_table()get_datagrid()print_parameters()get_varcov() when
the requested vcov-function failed.get_data() for coxme
models when source was set to
"modelframe".Functions like find_variables() or
clean_names() now support multi-membership formulas for
models from brms.
Updated tests to work with the latest changes in glmmTMB 1.1.9.
serp (package
serp).standardize_names() now also recognizes column
s.value from objects of package
marginaleffects.Fixed issue in find_predictors() for models with
splines (s()), where number of dimensions was indicated
with a variable, not a number.
format_ci() now works for factors and character
vectors again.
Fixed issues with latest release of tinytable.
Fixed issues with latest release of PROreg.
Removed deprecated arguments in
get_data.mmrm().
Improved support for models of class rqs (package
quantreg).
Revised test to address forthcoming changes in the pscl package.
Fixed issue in get_loglikelihood() for glm-models
with binary outcome, where levels were defined in reversed
order.
Fixed issue in find_formula() for models of class
glmmPQL (package MASS).
Fixed issue in find_formula() for models of class
gam (package mgcv) for the "gaulss"
family.
Fixed issue in get_variance() for glmmTMB
models with family = "ordbeta".
Fixed issue in model_info() with correctly detecting
multivariate vgam/vglm models.
Support for objects of class ggcomparisons from
ggeffects::hypothesis_test().
brms::gr() is now supported, meaning that functions
like get_data() or find_predictors() now also
work for models with group-specific random effects.
Fix CRAN check issues due to the last fixest update.
get_varcov() for models of class pgmm
(package plm) now also supported robust variance-covariance
matrices (i.e. argument vcov).Fixed issue in find_predictors() for survival models
with strata(), containing more that one variable.
Fixed issue in model_info(), where in some cases
logistic regression models were erroneously considered as
"bernoulli" models.
Fixed issue in find_formula() for models of class
gamlss when the random() function was used
with namespace in the formula
(i.e. ... + gamlss::random()).
model_info() now detects models with zero-inflation
part from package glmmTMB when models have truncated-families
but no ziformula.
get_predicted_ci().model_info() now recognized ordered beta
families.
find_formula and get_response for
nestedLogit models gain a dichotomies
argument, to return values for the dichotomies used to fit the
model.
find_transformation() better detects
power-transformation of the response variable.
Corrected return value from find_statistic for
nnet::multinom() models.
clean_parameters() did not return the
"clean_parameters" class attributes for some object. This
caused issued in upstream packages.
Fixed issue in model_info(), which did not correctly
detect “Bernoulli” property for some models classes (like
glmmTMB or glmerMod).
check_if_installed() for old
R releases.get_predicted() now accepts
predict = "link" for gaussian models with log-link
(i.e. glm(..., family = gaussian("log"))), to return
predictions on the link scale.
check_if_installed() now automatically checks the
package DESCRIPTION file to determine the correct minimum version
required.
Fixed issue with invalid multibyte strings in
trim_ws().
Fixed issue in find_statistic() for models from
package fixest.
standardize_column_order() has changed the position
when re-ordering Bayes factors, ROPEs and ESS / Rhat (mainly relevant
for Bayesian models).standardize_names() and
standardize_column_order() now also recognize the
"response.level" column name.
get_data() for lavaan models is now more
stable at retrieving model data when this is not available in the
environment.
find_terms() gets an as_term_labels
argument, to extract model terms from the formula’s
"term.labels" attribute. This is closer to the behaviour of
stats::terms(), but may be insufficient, e.g. for mixed
models.
get_random() now returns the same observations as
get_data() and correctly removes missing values from the
data before returning it.
find_parameters() for marginal effects ignores the
"s.value" column (which was added in a recent
update).
Fixed issue in get_response() for brms
models with trunc() function in the response
variable.
The minimum needed R version has been bumped to
3.6.
download_model() no longer errors when a model
object could not be downloaded, but instead returns NULL.
This prevents test failures, and allows to skip tests when the return
value of download_model() is NULL.
mclogit models (package
mclogit) and mipo objects (package mice)
for models with ordinal or categorical response.phylolm and phyloglm (package
phylolm), nestedLogit (package
nestedLogit).Fixed issue in get_variance() for glmmTMB
models with rank deficient coefficients.
Fixed issues in get_weights() for glm
models without weights and na.action not set to default in
the model call.
clean_names() now also removes the
relevel() pattern.
Fixed issue in model_info() for models of class
gamlss.
Fixed problems preventing get_data() from locating
data defined in non-global environments.
Fixed issue in get_predicted() for variables of
class numeric matrix created by scale(), which were
correctly handled only when get_data() failed to find the
data in the appropriate environment.
Fixed issue in model_info() for gee
models from binomial families.
hglm (package hglm).Minor improvements to get_data() for
t.test().
format_value() gets a lead_zero
argument, to keep or drop the leading zero of a formatted value, as well
as arguments style_positive and style_negative
to style positive or negative numbers.
format_table() now also formats columns named
SGPV (second generation p-values) as p-values.
Functions for models of class clm (like
find_formula(), find_variables(),
get_data() etc.) now also include variables that were
defined as scale or nominal
component.
Fixed issue in get_data() for results from
kruskal.test().
Fixed issue in find_weights() for models of class
lme and gls.
Fixed issue in get_datagrid() for models with
multiple weight variables.
mmrm (package mmrm), flac and
flic (logistf)get_data() was revised and now always tries to recover
the data that was used to fit a model from the environment. If this
fails, it falls back to recovering data from the model frame (the former
default behaviour). Furthermore, the source argument can be
used to explicitly force the old behaviour: source = "mf"
will try to recover data from the model frame first, then possibly
falling back to look in the environment.n_grouplevels(), to return random effect groups and
number of group levels for mixed models.get_datagrid() preserves all factor levels for factors
that are hold constant at their reference level. This is required to
work together with get_modelmatrix() when calculating
standard errors for get_predicted().Fixed but in get_modelmatrix() handling of
incomplete factors which sometimes had downstream implications for
numerical results in the uncertainty estimates produced by
get_predicted().
Fixed minor issues for HTML tables in export_table()
when model parameters were grouped.
Fixed issue with incorrect back-transforming in
get_data() for models with log-transformed
variables.
Fixes issue in compact_list().
has_single_value() now returns FALSE
when the object only has NA and
na.rm = TRUE.
Fixed issue in get_parameters() for gam-models
without smooth terms, or with only smooth terms and removed
intercept.
Minor revisions to get_predicted.glmmTMB() due to
changes in behaviour of predict.glmmTMB() for
truncated-family models since glmmTMB 1.1.5.
New function has_single_value() that is equivalent
to length(unique()) == 1 (or n_unique() == 1)
but faster.
ellipses_info() now includes an attribute
$is_binomial, which is TRUE for each model
from binomial family.Fixed behaviour of the at argument in
get_datagrid().
Fixed issue for accessing model data in
get_datagrid() for some edge cases.
get_data(),
find_variables() and more.Better detection of unicode-support, to avoid failures when building vignettes.
get_predicted() now correctly handles variables of
class numeric matrix created by scale(), which fixes a bug
in performance::check_model()
(easystats/performance#432).
Fixed issue with iterations argument in
get_predicted() with brms models.
get_df(type = "satterthwaite") for lmerMod
objects now return degrees of freedom per parameter, and no longer per
observation. Use df_per_obs TRUE to return degrees of
freedom per observation.safe_deparse_symbol() to only deparses a substituted
expressions when possible,which increases performance in case many calls
to deparse(substitute()).format_table() gets a use_symbols
argument. If TRUE, column names that refer to particular
effectsizes (like Phi, Omega or Epsilon) include the related
unicode-character instead of the written name. This only works on
Windows for R >= 4.2, and on OS X or Linux for R >= 4.0.
The stars argument in format_table()
can now also be a character vector, naming the columns that should
include stars for significant values. This is especially useful for
Bayesian models, where we might have multiple columns with significant
values, e.g. "BF" for the Bayes factor or "pd"
for the probability of direction.
get_df() gets more type options to
return different type of degrees of freedom (namely, "wald"
and "normal", and for mixed models, "ml1",
"betwithin", "satterthwaite" and
"kenward-roger").
standardize_names() now recognized more classes from
package marginaleffects.
Minor improvements to find_parameters() for models
with nonlinear formula.
Minor speed improvements.
Fixed issue in get_data() for models of class
plm, which accidentally converted factors into character
vectors.
Fixed issue with column alignment in export_table()
when the data frame to print contained unicode-characters longer than 1
byte.
Correctly extract predictors for fixest::i(f1, i.f2)
interactions (#649 by @grantmcdermott).
model_info() now includes information for
htest objects from shapiro.test() and
bartlett.test() (will return
$is_variancetest = TRUE).Fixed issue in get_data() which did not correctly
backtransform to original data when terms had log-transformations such
as log(1 + x) or log(x + 1).
Fixed CRAN check issues.
format_alert(), format_warning() and
format_error(), as convenient wrappers around
message(), warning() or stop() in
combination with format_message(). You can use these
funcionts to format messages, warnings or errors.get_predicted() for models of class clm
now includes confidence intervals of predictions.
format_message() gets some additional formatting
features. See ‘Details’ in ?format_message for more
information and some current limitations.
format_message() gets an indent
argument, to specify indention string for subsequent lines.
format_table() now merges IC and IC weights columns
into one column (e.g., former columns "AIC" and
"AIC_wt" will now be printed as one column, named
"AIC (weights)"). Furthermore, an ic_digits
argument was added to control the number of significant digits for the
IC values.
print_color() and color_text() now
support bright variants of colors and background colors.
get_datagrid() gets more options for at
and range, to provide more control how to generate the
reference grid.
get_data() for models of class geeglm
and fixestnow more reliably retrieves the model
data.
mblogit and
mclogit.Fixed issues with wrong attribute adjusted_for in
insight::get_datagrid().
Fixed issue (resp. implemented workaround) in
get_data.iv_robust(), which failed due to a bug in the
estimatr package.
Fixed issue where get_predicted() failed when data
contains factors with only one or incomplete levels.
Fixed issue in get_predicted() for models of class
mlm.
Fixed issue where get_predicted() failed to compute
confidence intervals of predictions when model contained matrix-alike
response columns, e.g. a response variable created with
cbind().
format_percent() as short-cut for
format_value(as_percent = TRUE).
is_converged(), to check whether a mixed model has
converged or not.
format_table() gains an exact argument,
to either report exact or rounded Bayes factors.
get_predicted() gets a method for models of class
gamlss (and thereby, get_loglikelihood() now
also works for those model classes).
get_predicted() now better handles models of class
polr, multinom and rlm.
Fixed test failures.
Minor fixes to address changes in other packages.
The ci argument in get_predicted() now
defaults to NULL. One reason was to make the function
faster if confidence intervals are not required, which was the case for
many downstream usages of that function. Please set ci
explicitly to compute confidence intervals for predictions.
get_data() no longer returns logical types for
numeric variables that have been converted to logicals on-the-fly within
formulas (like y ~ as.logical(x)). Instead, for each
numeric variable that was coerced to logical within a formula gets a
logical attribute (set to TRUE), and the
returned data frame gets a logicals attribute including all
names of affected variables.
parameters_table(), the alias for
format_table(), was removed.
find_transformation() and
get_transformation() now also work for models where the
response was transformed using log2() or
log10().get_sigma() for models from package VGAM
returned wrong sigma-parameter.
find_predictors() for models from package
fixest that contained interaction terms in the endogenous
formula part did not correctly return all instruments.
Fixed formatting of HTML table footers in
export_table().
Several fixes to get_predicted() for models from
mgcv::gam().
The component argument in
find_parameters() for stanmvreg models did not
accept the "location" value.
null_model() did not consider offset-terms if these
were specified inside formulas.
Argument allow.new.levels was not passed to
predict() for
get_predicted.glmmTMB().
clean_names() now works correctly when several
variables are specified in s() (#573, @etiennebacher).
deltaMethod (car),
marginaleffects, marginaleffects.summary
(marginaleffects)get_predicted() now supports models of class
iv_robust and ivreg.
For get_predicted(), when both type and
predict are given, type will overwrite
predict. Note that this will print a message, because
predict is the preferred argument.
get_varcov() gains vcov and
vcov_args arguments, to specify the variance-covariance
matrix used to compute uncertainty estimates (e.g., for robust standard
errors).
get_loglikehood() improved handling of models from
package estimator.
Fixed bug in get_data() for model objects whose data
needs to be recovered from the environment, and where the data name was
a reserved word (e.g., named like an R function).
The matrix returned by get_varcov() for models of
class bife now returns row and column names.
find_offset() did not find offset-terms for
merMod objects when the offset was specified as
offset argument in the function call.
vcov_estimation and vcov_type in
get_predicted(), get_predicted_se() and
get_predicted_ci() are replaced by vcov and
vcov_args, to have a more simplified and common interface
to control robust covariance matrix estimation.get_data() and model_info().To check for names: object_has_names() and
object_has_rownames()
To work with lists: is_empty_object() and
compact_list()
To work with strings: compact_character()
Further utility functions are safe_deparse(),
trim_ws() and n_unique().
export_table() now better checks for invalid values
of caption and footer for tables in HTML format, and silently removes,
e.g., ansi-colour codes that only work for text-format.
get_data.coxph() returns the original data frame
instead of data with type coercion.
get_loglikelihood() gets a
check_response argument, to check if a model has a
transformed response variable (like log() or
sqrt() transformation), and if so, returns a corrected
log-likelihood.
get_modelmatrix() now supports BayesFactor
models.
get_loglikelihood() and get_df() now
support more model classes.
get_predicted() was improved for multinomial models
from brms.
get_variance() was improved to cover more edge cases
of (more complex) random effect structures.
get_data() now includes variables in the returned
data frame that were used in the subset argument of
regression functions (like lm()).
In some edge cases, where get_data() is unable to
retrieve the data that was used to fit the model, now a more informative
error is printed.
ellipses_info() now also accepts a list of model
objects, is more stable and returns more information about the provided
models (like if all fixed or random effects are the same across models,
if all models are mixed models or null-models, etc.)
check_if_installed() now works interactively and
lets the user prompt whether to automatically update or install
packages.
Fixed incorrect column name conversion in
standardize_names() for certain columns returned by
broom::glance().
Fixed issue with correctly detecting Tweedie-models in
model_info().
Fixed issue with get_datagrid() for brms
models with monotonic factors.
Fixed issue in find_formula() when argument
correlation was defined outside of lme() and
gls() (@etiennebacher, #525).
Fixed issue with get_data() when back-transforming
data from predictors that used cos(), sin() or
tan() transformations.
get_datagrid(), to generate a reference grid, usually
used when computing adjusted predictions or marginal means from
regression models.get_predicted()get_predicted() was revised. Beside the four core
options for the predict argument, it is now also possible
to use any value that is valid for the model’s predict()
method’s type argument.
get_predicted() now supports more models (e.g., from
packages like GLMMadaptive or survival).
get_predicted() is now more robust when calculating
standard errors of predictions.
get_statistic() and find_statistic() now
support htest objects.get_data().get_data() for coxph models now returns
the original factor levels for variables transformed with
strata() inside formulas.Data management functions (like reshape_longer(), or
data_match()) have been moved to the datawizard
package.
get_data() no longer returns factor types for
numeric variables that have been converted to factors on-the-fly within
formulas (like y ~ as.factor(x)). Instead, for each numeric
variable that was coerced to factor within a formula gets a
factor attribute (set to TRUE), and the
returned data frame gets a factors attribute including all
names of affected variables.
bfsl (bfsl)standardize_column_order() function can be used to
standardize the column order in output dataframes.Improved speed performance for some functions.
Improved handling of table captions and footers in
export_table(). See also the new vignette on exporting data
frames into human readable tables here:
https://easystats.github.io/insight/articles/export.html
Revised width argument in
export_table(), which now allows to set different column
widths across table columns. See examples in
?export_table.
export_table() gets a table_width
argument to split wide tables into two parts.
get_varcov() for MixMod (package
GLMMadaptive) was revised, and now allows to return a robust
variance-covariance matrix.
Added more get_df() methods.
Fixed issues with manual sigma computation to handle dispersion
models in get_sigma().
Fixed issue in find_formula() for
BayesFactor::lmBF() with multiple random effects.
Fixed issue in get_parameters.BFBayesFactor() with
wrong sign of difference estimate for t-tests.
Argument width in format_value() was
ignored when formatting integer values and protect_integers
was set to TRUE.
find_transformation() and
get_transformation() to find or get any function that was
used to transform the response variable in a regression model.Improved support for models of class
sampleSelection.
Improved documentation.
get_modelmatrix() now supports:
rms::lrm
get_predicted() supports: MASS::polr,
MASS::rlm, rms::lrm, fixest,
bife::bife, ordinal::clm.
get_predicted() standard errors are often much
faster to compute.
get_predicted() supports models with “grouped” or
“level” outcomes (e.g., multinomial logit).
get_predicted() handles factors better.
Improved documentation
check_if_installed() gains a quietly
argument, if neither stopping nor a warning message for non-installed
packages is requested.
get_predicted()’s predict argument now
accepts these values: “link”, “expectation”, “prediction”,
“classification”, or NULL.
get_predicted() accepts predict=NULL,
which allows users to push a type argument through the
... ellipsis, forward to the predict() method
of the modelling package.
Fixed issue with parameter names from emmeans objects in
get_parameters().
Fixed issues with unknown arguments in
get_predicted().
systemfit (systemfit)get_predicted() gains a new option,
predict = "response" for binomial models.
Improved stability of get_variance() when computing
random-slope-intercept correlation with categorical random
slopes.
Improved get_priors() for brms
models.
Fixed issue in get_data() for brms models
with auxiliary parameters.
Fixed issue in find_formula() for brms
models with auxiliary parameters.
Fixed issue where get_data() for htest
objects did not always preserve factors.
Fixed issue in format_table() for ci-levels with
longer fractional part.
check_if_installed() gains a
minimum_version argument, to check if an installed package
is not older than the specified version number.
The package argument in
check_if_installed() is now vectorized, so you can check
for multiple packages in one function call.
Value formatting functions (like format_value() or
format_ci()) can now round to significant digits using
digits = "signif".
Fixed issue in model_info() with
stan_polr() models.
Fixed issue in find_parameters() for brms
when model contained parameters for the priors on sigma.
Fixed issue in n_obs() for
stats4::mle() models.
Fixed failing tests due to latest fixest update.
Fixed issues due to latest epiR update.
data_to_long(), data_match(),
data_relocate(), data_restoretype(),
force_numeric().pgmm (plm)Stability improvements to get_predicted().
Fixed issues when accessing information from an
afex_aov model with an empty aov slot (in
anticipation for {afex} v.1.0.0).
Fixed issue in model_info() for stanreg
object with non-standard model-family specification.
get_sigma() and get_auxiliary(), as well as
get_parameters(component = "all")) for brmsfit
models.get_modelmatrix() as a robust alternative to
model.matrix() for different model classes.
format_message() to format warnings and messages by
adjusting the maximum line_length, possibly to the width of the console
window.
format_string() to shorten a string to a maximum
length.
check_if_installed() to see if the needed package is
installed.
mvord (mvord),
SemiParBIV (GJRM), selection
(sampleSelection)find_formula() now warns when data name is present
in formula, since this can result in unexpected behaviour in other
package functions.
model_info() returns
is_bernoulli = TRUE for Bernoulli models.
Add get_statistic() for lavaan
models.
get_df() supports more models/objects.
get_sigma() supports more models/objects.
get_sigma() and get_deviance() for
lrm models (package rms) now only return one
value, sigma or deviance for the model with intercept and
predictors.
get_deviance() now works for glmerMod,
MixMod and glmmTMB models.
The behaviour and documentation of the effects and
component arguments, in particular for brmsfit
models, were revised to be more consistent.
export_table() now correctly prints the footer if
the input was a list of data frames.
Fixed issue (warning) in get_loglikelihood() for
binomial models with non-numeric response variables.
find_statistic() correctly distinguishes t- and
z-statistic for emmGrid objects.
Fixed issue in model_info() for BGGM
and mgcv::gam().
Fixed issue in find_formula() for
gamlss models with random() function in
formula.
Fixed issue with find_parameters() for
brmsfit models when auxiliary parameters are directly
modelled.
Fixed issue with get_parameters() and
find_parameters() for multi-group blavaan
models.
Fixed issue in ellipsis_info() when detecting nested
models with poly-terms.
Fixed issue in find_response() for brmsfit
models that used the resp_thres() function in the model
formula.
Fixed issue in get_predicted_ci() for models with
rank-deficient model matrix.
Argument zap_small in format_value()
did not work properly over vectorized vectors.
get_predicted() has be revamped with a new API and a
stable output form (a vector). In the course of this revision, a new
function get_predicted_ci() to calculate uncertainty
intervals for model predictions.
Improved support for orm (rms).
svy_vglm (svyVGAM),
mjoint (joineRML), mhurdle
(mhurdle), sarlm (spatialreg),
model_fit (tidymodels)is_gam_model() as a small helper to check if a model is
a generalized additive model with smooth terms.Added iterations argument to
get_predicted() to control the number of draws returned for
Bayesian models.
model_info() now returns $is_gam if
model is generalized additive model with smooth terms.
format_table() and export_table() now
check for valid input (e.g., non-empty data frame) and give an
informative message.
Improved support for MixMod (GLMMadaptive)
in get_variance().
Improved print_parameters(), to allow more
flexibility and better cope with different output formats.
get_parameters(), find_parameters() and
clean_parameters() for emmGrid and
emm_list objects were revised and now better match the actual
parameter names (also for contrasts).
Fixed issue in get_variance() for models without
intercept.
Fixed labelling issue in get_parameters() and
clean_parameters() for blavaan
models.
clean_parameters() for MCMCglmm objects did
not include random parameters.
Fixed minor issue with unintended sub-titles for
print_html().
Fixed issue in get_prior() for
rstanarm::R2() priors.
elm, eglm (eflm)get_residuals(..., weighted = TRUE) doesn’t throw
warnings if weights are 1 (no weights specified).
n_parameters() gains a only_estimable
argument, to remove non-estimable parameters from counting the number of
parameters for models with rank-deficient model matrix.
format_ci() also gains a zap_small
argument.
Fix or disable failing tests on Mac OS.
Fixed issues in get_variance() with non-correlated
random-slope-intercepts for lme4 models.
crr (cmprsk), ergm
(ergm), btergm (btergm),
Rchoice (Rchoice), garch
(tseries)Slightly improved handling of different CI-columns in
format_table().
model_info() now returns $is_leventest
if model is an object returned by
car::leveneTest().
get_parameters() supports htest
objects.
get_varcov() did not properly remove NA
from rank-deficient models.
Fixed issue/warning in get_data() for some
htest objects, where the environment was not properly
evaluated.
Fixed issue in format_table() with p-value
formatting, when input data frame contained a column named
"p", which was not numeric.
(Hopefully) fixed issue with failing CRAN checks.
format_table() is an alias for
parameters_table(), and is no longer referring to
export_table().coxr (coxrobust),
coeftest (lmtest), ivFixed
(ivFixed), ivprobit (ivprobit),
riskRegression (riskRegression).
summary.lm, lmodel2 (lmodel2),
improved support for bamlss (bamlss).Added get_deviance() function that returns the model
deviance as a robust alternative to
stats::deviance().
Added model_name() function that returns the model’s
“name”.
Added format() method for
find_formula() output to flatten it.
Added null_as_ones = TRUE argument to
get_weights() to return vector of 1s instead of
NULL.
Added get_intercept() as a helper function to easily
retrieve the value at the intercept.
Added get_df() as a robust alternative to
stats::df.residuals().
Added get_predicted() as a robust alternative to
stats::fitted().
Added get_loglikelihood() (and its alias
loglikelihood()) function as a robust alternative to
stats::logLik().
Added get_residuals() as a robust alternative
extract model residuals.
Added ellipsis_info() to specify the nature of
ellipsis (...) inputs.
Added is_nested_models() to check if multiple
regression models are nested (decreasing or increasing).
Added generic print_html(), to allow other packages
to create tables in HTML format (via export_table()) when
not printing the output to console.
Added is_mixed_model(), to safely check if a model
is a mixed effects model. This function also works for multivariate
response models.
n_parameters() was moved from parameters to
insight.
find_formula(), find_predictor(),
find_random() and related functions now also return names
of random effects from generalized additive mixed models
(gamm, gamm4,
stan_gamm4).
Added support for more BFBayesFactor objects.
model_info() now returns $is_xtab for
chisq.test() and
BayesFactor::contingencyTableBF(). Furthermore, the
$family element for those objects is set to
"categorical".
n_obs() now handles number of observations from
models with binomial family correctly when these have matrix-columns as
response variable.
Fixed issue in find_statistic() for fixest
models, which did not return the correct value
"t-statistic" for feols().
Fixes inconsistencies in get_priors() for (linear)
BFBayesFactor models.
print_color()
now use warning(), to better suppress warning messages if
required.find_smooth(), to return in particular smooth terms
used in a model.get_variance() and
get_variance_random() gain a
tolerance-argument, to set the tolerance level for
singularity checks when computing random effect variances.
parameters_table() formats more objects from the
easystats packages, like ROPE-range or
p_rope().
find_statistic() now supports models of class
scam.
get_data() now also supports
htest-object, where possible.
Fix CRAN check issues.
find_formula() for stan_gamm4() now
correctly includes random effects.
model_info() now also detects models from
oneway.test(), binom.test()
chisq.test(), mcnemar.test() and
prop.test(). Furthermore, model_info() better
deals with objects from BFBayesFactor, and censored
regression models no longer return TRUE for
$is_linear.
format_table() is going to be renamed in a future
update. Please use its alias export_table().
scam (scam),
meta_random and meta_fixed (metaBMA),
Glm (rms), ridgelm (MASS),
mediate (mediation). Partial support for
mcmc.list (e.g. bayesGARCH)parameters_table(), which was moved from package
parameters to insight. Note that this function is
going to be renamed into format_table() in a future
update.
find_offset(), to find the name of
offset-terms.
Added generics for display() and
print_md(), to allow other packages to create tables in
other formats when not printing the output to console.
standardize_names() tries to be as loyal to the
broom-naming conventions as possible.
The function of the brackets-argument in
format_ci() was changed. It is now also possible to provide
a length-two character vector, to define own brackets that encompass the
CI-values.
Related to the change in format_ci(), the function
of the brackets-argument in parameters_table()
was changed accordingly. Furthermore, parameters_table()
gains a preserve_attributes-argument, to preserve any
attributes from the input data frame.
export_table() gains several new arguments that
allows to create tables in markdown-format.
print_parameters() gains a
keep_parameter_column-argument, to keep (default) both the
"Cleaned_Parameter" and "Parameter" columns,
or - if FALSE - use "Cleaned_Parameter" as new
"Parameter" column.
get_data()Fixed issue in get_data() for MixMod
objects, which were caused due to internal changes in
GLMMadaptive.
get_data() for zero-inflated models from
pscl did not include the offset-term in cases where the offset
was defined as argument, not inside the model formula.
Fixed issue in get_data() for coxph
models with survival-objects with event-argument as
response.
Fixed edge case in get_data() for column name of
response values that were log-transformed using
log(x+1).
Fixed issue with survreg models that included
strata() in their formula.
Fixed warning in CRAN checks for forthcoming R-devel.
get_sigma() to return the residual standard
deviation.
standardize_names(), which was moved from package
parameters to insight.
maov (stats), HLfit
(spaMM), preliminary support for margins
(margins), merModList (merTools).Better support for (weighted) multivariate response models of
class mlm for functions like get_varcov() or
clean_parameters().
Make find_formula() work with t-tests from
BayesFactor.
Improved handling for mira objects.
format_bf() gains a na_reference
argument, to set the “reference” for Bayes factor values that are
NA, and an exact argument for returning
scientific formatted extreme values.
format_value() gains a zap_small
argument, to prevent scientific printing of numbers if these have more
decimal places than indicated by digits.
get_weights() now also returns NULL
when all weights were 1.
get_parameters() for BFBayesFactor objects
gets a verbose argument.
get_parameters() for emmGrid and
emm_list objects gets a summary argument, to
either return the full posterior samples or the summarized centrality
indices for Bayesian models.
find_formula() for MuMIn::model.avg()
now tries to retrieve the random effects part of a formula, when
present.
get_weights() gains a na_rm argument to
remove possible missing values.
Fix issues with one-sample Bayesian t-tests ( https://github.com/easystats/parameters/issues/297 ).
Fix issue in format_value() that printed
"100%" as "1e+02%".
Removed unnecessary white-spaces in format_ci() when
upper or lower interval was larger than 1e+5.
has_intercept() did not work correctly when
intercept was removed from formula using -1.
find_terms() now shows removal of intercept formula
using -1 as term "-1".
Fix issues with get_statistic() for vgam
models.
get_data() now works for models from
afex_aov().
get_parameters() returns a more informative message
for BFBayesFactor objects when not the first model is
indexed.
clean_names() now also removes
exp()-pattern.
clean_names() for character-objects now works with
“interaction patterns” (like
clean_names("scale(a):scale(b)")).
format_bf() gains a protect_ratio
argument, to print numbers smaller than 1 as ratios.
Fix issues in CRAN checks.
get_priors() now works for more complex
BFBayesFactor objects that have multiple custom
priors.
get_data() did not always “back-transform”
log-transformed or scaled variables to return the original values. Now
this bug has been fixed, and get_data() should return all
variables on the original scale (as if these variables were not
transformed), as stated in the docs.get_data() now returns the correct original data for
“empty” polynomials (i.e. poly(x, 1)).
Fix CRAN check issues due to latest estimatr update.
mipo (mice), lqmm and
lqm (lqmm). Preliminary support for
semLME (smicd), mle (stats4)
and mle2 (bbmle).model_info() returns $is_meta = TRUE
for brms-meta-analysis models.
Make find_statistic() work with
mgcv::bam().
get_variance() now also support
truncated_nbinom2() family from glmmTMB.
Fixed issue with correctly detecting sigma-parameters in
find_parameters() for multiple-response
brmsfit-models.
Fixed issue with find_formula() for models from
stan_nlmer().
Fixed issues with find_terms() when response
variable included a namespace, like
survival::Surv().
Fixed issues with get_priors() for stanreg
models, probably caused by the latest update to rstanarm
2.21.2.
Fixed issues in get_variance() for brmsfit
models.
Fixed some issues around crq objects (package
quantreg).
BGGM (BGGM), metaplus
(metaplus), glht (multcomp),
glmm (glmm), improved support for
manova (stats)format_bf(),
format_pd(), format_p(),
format_rope() and format_number() were moved
from package parameters to insight.get_variance() now also returns the correlation
among random slopes.
get_variance() now also (partially) supports
brmsfit models.
get_parameters() for models that return (posterior
or simulated) samples of model parameters gains a
summary-argument, which - if TRUE - returns a
point-estimate (mean of samples) instead of the full samples.
format_p() returns "> .999" for
p-values equal to or greater than 0.999.
Fixed issue in find_formula() that did not properly
work for models with random effects in formula (in lme4
notation), when random effects were in between fixed effects
parts.
get_variance() did not return variance components
for random effects for null-models with random slopes.
Fixed issue with get_variance() for
lme-models with categorical random slope.
Fixed issue that occurred since R 4.0.0 in
find_weights() when function call had no
weights-argument.
Fixed issue in get_data() for models with
cbind()-response variables and matrix-like variables in the
model frame (e.g. when using poly()).
Fixed issues with PROreg::BBmm(), due to changes in
latest package update.