AIC.spautor | Compute AIC and AICc of fitted model objects |
AIC.splm | Compute AIC and AICc of fitted model objects |
AIC.spmodel | Compute AIC and AICc of fitted model objects |
AICc | Compute AIC and AICc of fitted model objects |
AICc.spautor | Compute AIC and AICc of fitted model objects |
AICc.splm | Compute AIC and AICc of fitted model objects |
anova.spautor | Compute analysis of variance and likelihood ratio tests of fitted model objects |
anova.splm | Compute analysis of variance and likelihood ratio tests of fitted model objects |
anova.spmodel | Compute analysis of variance and likelihood ratio tests of fitted model objects |
augment.spautor | Augment data with information from fitted model objects |
augment.splm | Augment data with information from fitted model objects |
augment.spmodel | Augment data with information from fitted model objects |
caribou | A caribou forage experiment |
coef.spautor | Extract fitted model coefficients |
coef.splm | Extract fitted model coefficients |
coef.spmodel | Extract fitted model coefficients |
coefficients.spautor | Extract fitted model coefficients |
coefficients.splm | Extract fitted model coefficients |
confint.spautor | Confidence intervals for fitted model parameters |
confint.splm | Confidence intervals for fitted model parameters |
confint.spmodel | Confidence intervals for fitted model parameters |
cooks.distance.spautor | Compute Cook's distance |
cooks.distance.splm | Compute Cook's distance |
cooks.distance.spmodel | Compute Cook's distance |
covmatrix | Create a covariance matrix |
deviance.spautor | Fitted model deviance |
deviance.splm | Fitted model deviance |
deviance.spmodel | Fitted model deviance |
esv | Compute the empirical semivariogram |
fitted.spautor | Extract model fitted values |
fitted.splm | Extract model fitted values |
fitted.spmodel | Extract model fitted values |
fitted.values.spautor | Extract model fitted values |
fitted.values.splm | Extract model fitted values |
formula.spautor | Model formulae |
formula.splm | Model formulae |
formula.spmodel | Model formulae |
glance.spautor | Glance at a fitted model object |
glance.splm | Glance at a fitted model object |
glance.spmodel | Glance at a fitted model object |
glances | Glance at many fitted model objects |
hatvalues.spautor | Compute leverage (hat) values |
hatvalues.splm | Compute leverage (hat) values |
hatvalues.spmodel | Compute leverage (hat) values |
influence.spautor | Regression diagnostics |
influence.splm | Regression diagnostics |
influence.spmodel | Regression diagnostics |
labels.spautor | Find labels from object |
labels.splm | Find labels from object |
labels.spmodel | Find labels from object |
logLik.spautor | Extract log-likelihood |
logLik.splm | Extract log-likelihood |
logLik.spmodel | Extract log-likelihood |
loocv | Perform leave-one-out cross validation |
loocv.splm | Perform leave-one-out cross validation |
model.frame.spautor | Extract the model frame from a fitted model object |
model.frame.splm | Extract the model frame from a fitted model object |
model.frame.spmodel | Extract the model frame from a fitted model object |
model.matrix.spautor | Extract the model matrix from a fitted model object |
model.matrix.splm | Extract the model matrix from a fitted model object |
model.matrix.spmodel | Extract the model matrix from a fitted model object |
moss | Heavy metals in mosses near a mining road in Alaska, USA |
plot.spautor | Plot fitted model diagnostics |
plot.splm | Plot fitted model diagnostics |
plot.spmodel | Plot fitted model diagnostics |
predict.spautor | Model predictions (Kriging) |
predict.spautorRF | Model predictions (Kriging) |
predict.spautorRF_list | Model predictions (Kriging) |
predict.spautor_list | Model predictions (Kriging) |
predict.splm | Model predictions (Kriging) |
predict.splmRF | Model predictions (Kriging) |
predict.splmRF_list | Model predictions (Kriging) |
predict.splm_list | Model predictions (Kriging) |
predict.spmodel | Model predictions (Kriging) |
print.anova.spautor | Print values |
print.anova.splm | Print values |
print.spautor | Print values |
print.splm | Print values |
print.spmodel | Print values |
print.summary.spautor | Print values |
print.summary.splm | Print values |
pseudoR2 | Compute a pseudo r-squared |
pseudoR2.spautor | Compute a pseudo r-squared |
pseudoR2.splm | Compute a pseudo r-squared |
randcov_initial | Create a random effects covariance parameter initial object |
randcov_params | Create a random effects covariance parameter object |
resid.spautor | Extract fitted model residuals |
resid.splm | Extract fitted model residuals |
residuals.spautor | Extract fitted model residuals |
residuals.splm | Extract fitted model residuals |
residuals.spmodel | Extract fitted model residuals |
rstandard.spautor | Extract fitted model residuals |
rstandard.splm | Extract fitted model residuals |
seal | Estimated harbor-seal trends from abundance data in southeast Alaska, USA |
spautor | Fit spatial autoregressive models |
spautorRF | Fit random forest spatial residual models |
spcov_initial | Create a spatial covariance parameter initial object |
spcov_params | Create a spatial covariance parameter object |
splm | Fit spatial linear models |
splmRF | Fit random forest spatial residual models |
sprnorm | Simulate a spatial normal (Gaussian) random variable |
sprnorm.car | Simulate a spatial normal (Gaussian) random variable |
sprnorm.exponential | Simulate a spatial normal (Gaussian) random variable |
sprnorm.none | Simulate a spatial normal (Gaussian) random variable |
sulfate | Sulfate atmospheric deposition in the conterminous USA |
sulfate_preds | Locations at which to predict sulfate atmospheric deposition in the conterminous USA |
summary.spautor | Summarize a fitted model object |
summary.splm | Summarize a fitted model object |
summary.spmodel | Summarize a fitted model object |
tidy.anova.spautor | Compute analysis of variance and likelihood ratio tests of fitted model objects |
tidy.anova.splm | Compute analysis of variance and likelihood ratio tests of fitted model objects |
tidy.spautor | Tidy a fitted model object |
tidy.splm | Tidy a fitted model object |
tidy.spmodel | Tidy a fitted model object |
varcomp | Variability component comparison |
varcomp.spautor | Variability component comparison |
varcomp.splm | Variability component comparison |
vcov.spautor | Calculate variance-covariance matrix for a fitted model object |
vcov.splm | Calculate variance-covariance matrix for a fitted model object |
vcov.spmodel | Calculate variance-covariance matrix for a fitted model object |