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glm.predict  

Predicted Values and Discrete Changes for Regression Models
View on CRAN: Click here


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]
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:
2.3-0 (2016-10-06 20:05), 2.4-0 (2016-11-17 08:27), 2.5-0 (2017-05-16 12:19), 2.5-1 (2017-05-23 12:47), 3.0-0 (2017-12-06 16:04), 3.0-1 (2018-05-03 13:14), 3.1-0 (2019-09-05 04:10), 4.0-0 (2020-11-17 10:50), 4.1-0 (2021-08-16 21:10), 4.2-0 (2022-12-02 15:50)
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Complete documentation for glm.predict
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