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

Documentation:

Reference manual:	mme.pdf
Vignettes:	mme: tutorial for mme package

Downloads:

Package source:	mme_0.1-6.tar.gz
Windows binaries:	r-devel: mme_0.1-6.zip, r-release: mme_0.1-6.zip, r-oldrel: mme_0.1-6.zip
macOS binaries:	r-release (arm64): mme_0.1-6.tgz, r-oldrel (arm64): mme_0.1-6.tgz, r-release (x86_64): mme_0.1-6.tgz, r-oldrel (x86_64): mme_0.1-6.tgz
Old sources:	mme archive

Linking:

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