Other packages > Find by keyword >

mcemGLM  

Maximum Likelihood Estimation for Generalized Linear Mixed Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mcemGLM", "1.1.3")



Attach the package and use:
library("mcemGLM")
Maintained by
Felipe Acosta Archila
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-14
Latest Update: 2023-04-01
Description:
Maximum likelihood estimation for generalized linear mixed models via Monte Carlo EM. For a description of the algorithm see Brian S. Caffo, Wolfgang Jank and Galin L. Jones (2005) .
How to cite:
Felipe Acosta Archila (2015). mcemGLM: Maximum Likelihood Estimation for Generalized Linear Mixed Models. R package version 1.1.3, https://cran.r-project.org/web/packages/mcemGLM. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:28), 1.0 (2015-08-14 09:43), 1.1.1 (2020-03-03 23:30), 1.1.2 (2023-01-24 09:30), 1.1 (2015-11-29 09:06)
Other packages that cited mcemGLM R package
View mcemGLM citation profile
Other R packages that mcemGLM depends, imports, suggests or enhances
Complete documentation for mcemGLM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gecko  
Geographical Ecology and Conservation Knowledge Online
Includes a collection of geographical analysis functions aimed primarily at ecology and conservation ...
Download / Learn more Package Citations See dependency  
gRim  
Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Grap ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA