plmm: 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.

Install the latest version of this package by entering the following in R:
install.packages("plmm")
AuthorOHINATA Ren
Date of publication2012-11-28 15:35:50
MaintainerOHINATA Ren <Ren.Ohinata@wiwi.uni-goettingen.de>
LicenseGPL (>= 2)
Version0.1-1

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.