Added a NEWS.md file to track changes to the
package.
Added a pkgdown site for the package.
ipd() now allows for regression through the origin
with intercept = FALSE argument.
ipd() now takes an additional argument,
na_action, to handle missing covariate data.
Currently supports "na.fail" and
"na.omit". Defaults to na.fail.
Provides a more informative error message and lists which covariates are missing observations.
ipd() now takes an additional argument,
n_t, which denotes the (optional) size of the training set
used to generate the prediction rule. Defaults to Inf but
is necessary for the postpi_X methods if n_t
< n, N, the number of labeled and unlabeled
observations, respectively, in the data being analyzed.
Added a help topic for the package itself
(man/ipd-package.Rd) via R/ipd-package.R and
roxygen2
Updated the documentation for ipd():
Provided a more explicit description of the model
argument, which is meant to specify the downstream inferential model or
parameter to be estimated.
Clarified that not all columns in data are used in prediction
unless explicitly referenced in the formula argument or in
the label argument if the data are passed as one stacked
data frame.
Updated the documentation for simdat() to include a
more thorough explanation of how to simulate data with this
function.
simdat() now outputs a data.frame with
a column named "set_label" instead of "set" to
denote the labeled/unlabeled observation indicator.