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glmmrBase  

Generalised Linear Mixed Models in R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("glmmrBase", "0.8.1")



Attach the package and use:
library("glmmrBase")
Maintained by
Sam Watson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-22
Latest Update: 2023-08-15
Description:
Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See for a detailed manual.
How to cite:
Sam Watson (2022). glmmrBase: Generalised Linear Mixed Models in R. R package version 0.8.1, https://cran.r-project.org/web/packages/glmmrBase
Previous versions and publish date:
0.1.2 (2022-09-22 19:00), 0.1.3 (2022-11-03 17:10), 0.2.1 (2022-11-30 11:20), 0.2.2 (2022-12-03 08:50), 0.2.3 (2022-12-08 16:00), 0.2.4 (2023-02-09 16:10), 0.2.5 (2023-02-24 18:20), 0.3.1 (2023-04-20 19:12), 0.4.2 (2023-06-23 18:40), 0.4.4 (2023-07-01 20:40), 0.4.5 (2023-08-15 13:10), 0.4.6 (2023-09-14 12:00), 0.5.2 (2023-11-22 18:10), 0.5.3 (2023-11-24 23:40), 0.6.1 (2024-01-11 14:50), 0.6.2 (2024-01-19 23:30), 0.7.1 (2024-02-26 12:40)
Other packages that cited glmmrBase R package
View glmmrBase citation profile
Other R packages that glmmrBase depends, imports, suggests or enhances
Functions, R codes and Examples using the glmmrBase R package
Some associated functions: Beta . Covariance . MeanFunction . Model . cross_df . cycles . glmmrBase-package . match_rows . mcnr_family . nelder . nest_df . print.mcml . progress_bar . setParallel . summary.mcml . yexample312a . yexample312b . yexample312c . ytest1 . 
Some associated R codes: Betadist.R . R6Model.R . R6covariance.R . R6meanfunction.R . RcppExports.R . extrafunctions.R . nelder.R . printfunctions.R .  Full glmmrBase package functions and examples
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