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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 |
DOI: | 10.32614/CRAN.package.mme |
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 |
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-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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.