This package fits the partially linear mixed effects model (semiparametric random intercept model) using kernel regression, without distributional assumptions for the random terms. Estimation procedure is an iterative generalized least squares type. A nonparametric heteroskedastic variance function is allowed for the regression error. Bootstrap resampling is provided for inference. The package implements bandwidth selection by an alternative cross validation for correlated data.
| Version: | 0.1-1 |
| Depends: | sm, Formula, nlme |
| Published: | 2012-11-28 |
| Author: | OHINATA Ren |
| Maintainer: | OHINATA Ren <Ren.Ohinata at wiwi.uni-goettingen.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | plmm results |
| Reference manual: | plmm.pdf |
| Package source: | plmm_0.1-1.tar.gz |
| Windows binaries: | r-devel: plmm_0.1-1.zip, r-release: plmm_0.1-1.zip, r-oldrel: plmm_0.1-1.zip |
| macOS binaries: | r-release: plmm_0.1-1.tgz, r-oldrel: plmm_0.1-1.tgz |
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