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simglm  

Simulate Models Based on the Generalized Linear Model
View on CRAN: Click here


Download and install simglm package within the R console
Install from CRAN:
install.packages("simglm")

Install from Github:
library("remotes")
install_github("cran/simglm")

Install by package version:
library("remotes")
install_version("simglm", "0.8.9")



Attach the package and use:
library("simglm")
Maintained by
Brandon LeBeau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-25
Latest Update: 2022-02-07
Description:
Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.
How to cite:
Brandon LeBeau (2017). simglm: Simulate Models Based on the Generalized Linear Model. R package version 0.8.9, https://cran.r-project.org/web/packages/simglm. Accessed 21 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.5.0 (2017-05-25 23:51), 0.6.0 (2017-07-24 17:48), 0.7.0 (2018-06-02 00:46), 0.7.1 (2018-07-25 22:50), 0.7.2 (2019-01-23 19:50), 0.7.4 (2019-05-31 19:10), 0.8.0 (2020-06-12 22:10), 0.8.8 (2021-08-09 20:40)
Other packages that cited simglm R package
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Complete documentation for simglm
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