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mme  

Multinomial Mixed Effects Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mme", "0.1-6")



Attach the package and use:
library("mme")
Maintained by
E. Lopez-Vizcaino
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-05
Latest Update: 2019-01-27
Description:
Fit Gaussian Multinomial mixed-effects models for small area estimation: Model 1, with one random effect in each category of the response variable (Lopez-Vizcaino,E. et al., 2013) ; Model 2, introducing independent time effect; Model 3, introducing correlated time effect. mme calculates direct and parametric bootstrap MSE estimators (Lopez-Vizcaino,E et al., 2014) .
How to cite:
E. Lopez-Vizcaino (2014). mme: Multinomial Mixed Effects Models. R package version 0.1-6, https://cran.r-project.org/web/packages/mme. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.1-4 (2014-01-05 15:25), 0.1-5 (2014-08-29 16:21)
Other packages that cited mme R package
View mme citation profile
Other R packages that mme depends, imports, suggests or enhances
Complete documentation for mme
Functions, R codes and Examples using the mme R package
Some associated functions: Fbetaf.ct . Fbetaf.it . Fbetaf . addtolist . addtomatrix . ci . data.mme . initial.values . mme-package . mmedata . model . modelfit1 . modelfit2 . modelfit3 . mseb . msef.ct . msef.it . msef . omega . phi.direct.ct . phi.direct.it . phi.direct . phi.mult.ct . phi.mult.it . phi.mult . print.mme . prmu . prmu.time . sPhikf.ct . sPhikf.it . sPhikf . simdata . simdata2 . simdata3 . wmatrix . 
Some associated R codes: blockdiag.R . modelfit1.R . modelfit2.R . modelfit3.R . utilities.R . zzz.R .  Full mme package functions and examples
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