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.

Package details

AuthorOHINATA Ren
MaintainerOHINATA Ren <Ren.Ohinata@wiwi.uni-goettingen.de>
LicenseGPL (>= 2)
Version0.1-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("plmm")

Try the plmm package in your browser

Any scripts or data that you put into this service are public.

plmm documentation built on May 2, 2019, 7:29 a.m.