mme: Multinomial Mixed Effects Models

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) <doi:10.1177/1471082X13478873>; 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) <doi:10.1111/rssa.12085>.

Version: 0.1-6
Depends: R (≥ 1.8.0), MASS
Imports: Matrix, methods
Published: 2019-01-27
Author: E. Lopez-Vizcaino, M.J. Lombardia and D. Morales
Maintainer: E. Lopez-Vizcaino <esther.lopez at ige.eu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mme results

Downloads:

Reference manual: mme.pdf
Vignettes: mme: tutorial for mme package
Package source: mme_0.1-6.tar.gz
Windows binaries: r-devel: mme_0.1-6.zip, r-devel-gcc8: mme_0.1-6.zip, r-release: mme_0.1-6.zip, r-oldrel: mme_0.1-6.zip
OS X binaries: r-release: mme_0.1-6.tgz, r-oldrel: mme_0.1-6.tgz
Old sources: mme archive

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