Partially Linear Mixed Effects Model

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.


Reference manual

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0.1-1 by OHINATA Ren, 9 years ago

Browse source code at

Authors: OHINATA Ren

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on sm, Formula, nlme

See at CRAN