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blme  

Bayesian Linear Mixed-Effects Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("blme", "1.0-6")



Attach the package and use:
library("blme")
Maintained by
Vincent Dorie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-06-21
Latest Update: 2021-01-05
Description:
Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting, implementing the methods of Chung, et al. (2013) . Extends package 'lme4' (Bates, Maechler, Bolker, and Walker (2015) ).
How to cite:
Vincent Dorie (2011). blme: Bayesian Linear Mixed-Effects Models. R package version 1.0-6, https://cran.r-project.org/web/packages/blme. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.01-0 (2011-06-21 06:01), 0.01-1 (2011-06-21 15:03), 0.01-2 (2011-06-23 07:26), 0.01-3 (2011-06-24 18:58), 0.01-4 (2011-11-16 13:16), 0.01-6 (2012-10-13 18:11), 1.0-0 (2013-09-21 10:00), 1.0-1 (2013-09-24 20:44), 1.0-2 (2014-03-16 00:56), 1.0-3 (2015-05-30 07:51), 1.0-4 (2015-06-14 01:21), 1.0-5 (2021-01-05 19:10)
Other packages that cited blme R package
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Other R packages that blme depends, imports, suggests or enhances
Complete documentation for blme
Functions, R codes and Examples using the blme R package
Some associated functions: blmer . bmerDist-class . bmerMod-class . 
Some associated R codes: AllClass.R . blmer.R . control.R . devFun.R . dist.R . dist_custom.R . dist_gamma.R . dist_horseshoe.R . dist_normal.R . dist_point.R . dist_t.R . dist_wishart.R . generics.R . optimize.R . parameters.R . priorEval.R . string.R . util.R .  Full blme package functions and examples
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