CRAN/E | glm.predict

glm.predict

Predicted Values and Discrete Changes for GLM

Installation

About

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

benjaminschlegel.ch/r/glm-predict/

Key Metrics

Version 4.2-0
R ≥ 3.5.0
Published 2022-12-02 111 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks glm.predict results
Language en-US

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Maintainer

Maintainer

Benjamin Schlegel

kontakt@benjaminschlegel.ch

Authors

Benjamin Schlegel

aut / cre

Material

Reference manual
Package source

Vignettes

Introduction to glm.predict

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glm.predict archive

Depends

R ≥ 3.5.0
stats

Imports

nnet
AER
survival
MASS
parallel
mlogit
dfidx
survey
lme4

Suggests

knitr
rmarkdown
ggplot2
devtools