Simulation and Bootstrap explained | Simulation | Bootstrap | Discrete Changes | Using the package | Example
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:
glm.predict_4.3-2.tar.gz
glm.predict_4.3-2.zip(r-4.7-any)glm.predict_4.3-2.zip(r-4.6-any)glm.predict_4.3-2.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
glm.predict/json (API)
| # 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
Last updated from:0c40998ae2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 287 | ||
| linux-release-x86_64 | OK | 207 | ||
| macos-release-arm64 | OK | 273 | ||
| macos-oldrel-arm64 | OK | 151 | ||
| windows-devel | OK | 119 | ||
| windows-release | OK | 148 | ||
| windows-oldrel | OK | 173 | ||
| wasm-release | OK | 153 |
Exports:basepredictbasepredict.glmbasepredict.lmbasepredict.lmerModbasepredict.mlogitbasepredict.multinombasepredict.polrbasepredict.tobitbasepredict.vglmdcdc.glmdc.lmdc.lmerModdc.mlogitdc.multinomdc.polrdc.tobitdc.vglmpredicts
Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspaceCompQuadFormcowplotcpp11DBIDerivdfidxdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicsrminqamitoolsmlogitmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsVGAMviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Predicted Values and Discrete Changes for GLM | glm.predict-package glm.predict |
| predicted value | basepredict |
| predicted value | basepredict.glm |
| predicted value | basepredict.lm |
| predicted value | basepredict.lmerMod |
| predicted value | basepredict.mlogit |
| predicted value | basepredict.multinom |
| predicted value | basepredict.polr |
| predicted value | basepredict.tobit |
| predicted value | basepredict.vglm |
| predicted values and discrete change | dc |
| predicted values and discrete change | dc.glm |
| predicted values and discrete change | dc.lm |
| predicted values and discrete change | dc.lmerMod |
| predicted values and discrete change | dc.mlogit |
| predicted values and discrete change | dc.multinom |
| predicted values and discrete change | dc.polr |
| predicted values and discrete change | dc.tobit |
| predicted values and discrete change | dc.vglm |
| predicted values and discrete change | predicts |
| Swiss Electoral Studies (Selects) 2015 - Post-electoral study | selects2015 |
