Package: glm.predict 4.3-1.9000
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_4.3-1.9000.tar.gz
glm.predict_4.3-1.9000.zip(r-4.5)glm.predict_4.3-1.9000.zip(r-4.4)glm.predict_4.3-1.9000.zip(r-4.3)
glm.predict_4.3-1.9000.tgz(r-4.4-any)glm.predict_4.3-1.9000.tgz(r-4.3-any)
glm.predict_4.3-1.9000.tar.gz(r-4.5-noble)glm.predict_4.3-1.9000.tar.gz(r-4.4-noble)
glm.predict_4.3-1.9000.tgz(r-4.4-emscripten)glm.predict_4.3-1.9000.tgz(r-4.3-emscripten)
glm.predict.pdf |glm.predict.html✨
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
- selects2015 - Swiss Electoral Studies (Selects) 2015 - Post-electoral study
Last updated 3 months agofrom:81904a7a01. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 22 2024 |
| R-4.5-win | NOTE | Oct 22 2024 |
| R-4.5-linux | NOTE | Oct 22 2024 |
| R-4.4-win | NOTE | Oct 22 2024 |
| R-4.4-mac | NOTE | Oct 22 2024 |
| R-4.3-win | NOTE | Oct 22 2024 |
| R-4.3-mac | NOTE | Oct 22 2024 |
Exports:basepredictbasepredict.glmbasepredict.lmbasepredict.lmerModbasepredict.mlogitbasepredict.multinombasepredict.polrbasepredict.tobitbasepredict.vglmdcdc.glmdc.lmdc.lmerModdc.mlogitdc.multinomdc.polrdc.tobitdc.vglmpredicts
Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DBIDerivdfidxdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamitoolsmlogitmodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrlangsandwichscalesSparseMstatmodstringistringrsurveysurvivaltibbletidyrtidyselectutf8vctrsVGAMviridisLitewithrzoo
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 |
