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glm.predict
View on CRAN: Click
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Download and install glm.predict package within the R console
Install from CRAN:
install.packages("glm.predict")
Install from Github:
library("remotes")
install_github("cran/glm.predict")
Install by package version:
library("remotes")
install_version("glm.predict", "4.3-0")
Attach the package and use:
library("glm.predict")
Maintained by
Benjamin E. Schlegel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.glm.predict . https://github.com/benjaminschlegel/glm.predict/ . glm.predict citation info . glm.predict results . glm.predict.pdf . Introduction to glm.predict . glm.predict_4.3-0.tar.gz . glm.predict_4.3-0.zip . glm.predict_4.3-0.zip . glm.predict_4.3-0.zip . glm.predict_4.3-0.tgz . glm.predict_4.3-0.tgz . glm.predict_4.3-0.tgz . glm.predict_4.3-0.tgz . glm.predict_4.3-0.tgz . glm.predict_4.3-0.tgz . glm.predict archive . https://CRAN.R-project.org/package=glm.predict .
First Published: 2016-10-06
Latest Update: 2022-12-02
Description:
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) .
How to cite:
Benjamin E. Schlegel (2016). glm.predict: Predicted Values and Discrete Changes for Regression Models. R package version 4.3-0, https://cran.r-project.org/web/packages/glm.predict. Accessed 20 Feb. 2025.
Previous versions and publish date:
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View glm.predict citation profile
Other R packages that glm.predict depends,
imports, suggests or enhances
Complete documentation for glm.predict
Functions, R codes and Examples using
the glm.predict R package
Some associated functions: basepredict.glm . basepredict.lm . basepredict.lmerMod . basepredict.mlogit . basepredict.multinom . basepredict . basepredict.polr . basepredict.tobit . basepredict.vglm . dc.glm . dc.lm . dc.lmerMod . dc.mlogit . dc.multinom . dc . dc.polr . dc.tobit . dc.vglm . glm.predict-package . predicts . selects2015 .
Some associated R codes: basepredict.R . basepredict.glm.R . basepredict.lm.R . basepredict.lmerMod.R . basepredict.mlogit.R . basepredict.multinom.R . basepredict.polr.R . basepredict.tobit.R . basepredict.vglm.R . data.R . dc.R . dc.glm.R . dc.lm.R . dc.lmerMod.R . dc.mlogit.R . dc.multinom.R . dc.polr.R . dc.tobit.R . dc.vglm.R . getBaseCombinations.R . getCombinations.R . getDummies.R . getFactorCombinations.R . getLabel.R . getNames.R . getProducts.R . getResultMatrix.R . getValues.R . inizialize_data.frame.R . mode.R . predicts.R . zzz.R . Full glm.predict package functions and examples
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