Package: glm.predict 4.3-2

glm.predict: Predicted Values and Discrete Changes for Regression Models

Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [generalized linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model], vglm() [generalized ordinal logistic model], multinom() [multinomial model], tobit() [tobit model], svyglm() [survey-weighted generalised linear models] and lmer() [linear multilevel models] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.

Authors:Benjamin E. Schlegel [aut, cre]

glm.predict_4.3-2.tar.gz
glm.predict_4.3-2.zip(r-4.7)glm.predict_4.3-2.zip(r-4.6)glm.predict_4.3-2.zip(r-4.5)
glm.predict_4.3-2.tgz(r-4.6-any)glm.predict_4.3-2.tgz(r-4.5-any)
glm.predict_4.3-2.tar.gz(r-4.7-any)glm.predict_4.3-2.tar.gz(r-4.6-any)
glm.predict_4.3-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
glm.predict/json (API)
NEWS

# Install 'glm.predict' in R:
install.packages('glm.predict', repos = c('https://benjaminschlegel.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benjaminschlegel/glm.predict/issues

Datasets:
  • selects2015 - Swiss Electoral Studies (Selects) 2015 - Post-electoral study

On CRAN:

Conda:

4.76 score 1 stars 58 scripts 420 downloads 19 exports 78 dependencies

Last updated from:0c40998ae2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK193
source / vignettesOK227
linux-release-x86_64OK205
macos-release-arm64OK237
macos-oldrel-arm64OK205
windows-develOK130
windows-releaseOK143
windows-oldrelOK183
wasm-releaseOK132

Exports:basepredictbasepredict.glmbasepredict.lmbasepredict.lmerModbasepredict.mlogitbasepredict.multinombasepredict.polrbasepredict.tobitbasepredict.vglmdcdc.glmdc.lmdc.lmerModdc.mlogitdc.multinomdc.polrdc.tobitdc.vglmpredicts

Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DBIDerivdfidxdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamitoolsmlogitmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstatmodstringistringrsurveysurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsVGAMviridisLitewithrzoo

Introduction to glm.predict

Rendered fromglm.predict.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2024-01-15
Started: 2024-01-15