Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors.

Authors@R: c(person("Alexander", "Tahk", role = c("aut", "cre"), email = "tahk@alum.mit.edu", comment = c(ORCID = "0000-0001-7895-9420")))
Author: Alexander Tahk [aut, cre] (<https://orcid.org/0000-0001-7895-9420>)

Title: Buffer Generation for Spatial Models
Description: Generates non-circular simple feature geometries e.g. for the use as buffers in model-building.
Author: Tilman Leo Hohenberger [aut, cre]
Maintainer: Tilman Leo Hohenberger <tlh@ust.hk>

Title: Stepwise Elimination and Term Reordering for Mixed-Effects
Authors@R: person("Cesko", "Voeten", email = "c.c.voeten@hum.leidenuniv.nl", role = c("aut", "cre"))
Description: Finds the largest possible regression model that will still converge
for various types of regression analyses (including mixed models and generalized
additive models) and then optionally performs stepwise elimination similar to the
forward and backward effect selection methods in SAS, based on the change in
log-likelihood, Akaike's Information Criterion, or the Bayesian Information Criterion.
Imports: methods, mgcv, lme4, plyr, stats, utils
Suggests: JuliaCall, MASS, gamm4, glmmTMB, knitr, lmerTest, nlme, nnet,

Authors@R: person(c("Cesko", "C."), "Voeten", email = "cvoeten@gmail.com", role = c("aut", "cre"))
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

log-likelihood or its significance, Akaike's Information Criterion, or the Bayesian
Suggests: JuliaCall, MASS, gamm4, glmertree, glmmTMB, knitr, lmerTest,
nlme, nnet, parallel, pbkrtest, rmarkdown

Authors@R: person(c("Cesko", "C."), "Voeten", email = "cvoeten@gmail.com", role = c("aut", "cre"), comment = c(ORCID="0000-0003-4687-9973"))
forward and backward effect-selection methods in SAS, based on the change in
Suggests: GLMMadaptive, JuliaCall, MASS, gamm4, glmertree, glmmTMB,
knitr, lmerTest, nlme, nnet, parallel, partykit, pbkrtest,
Author: Cesko C. Voeten [aut, cre] (<https://orcid.org/0000-0003-4687-9973>)