lmeresampler: Bootstrap Methods for Nested Linear Mixed-Effects Models

Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, semi-parametric (i.e., CGR), residual, cases, and random effect block (REB) bootstrap procedures.

Install the latest version of this package by entering the following in R:
install.packages("lmeresampler")
AuthorAdam Loy [aut, cre], Spenser steele [aut]
Date of publication2016-07-15 00:31:07
MaintainerAdam Loy <loyad01@gmail.com>
LicenseGPL-3
Version0.1.0
https://github.com/aloy/lmeresampler

View on CRAN

Functions

bootstrap Man page
bootstrap.lme Man page
bootstrap.lmerMod Man page
case_bootstrap Man page
case_bootstrap.lme Man page
case_bootstrap.lmerMod Man page
cgr_bootstrap Man page
cgr_bootstrap.lme Man page
cgr_bootstrap.lmerMod Man page
jsp728 Man page
lmeresampler Man page
package-lmeresampler Man page
parametric_bootstrap Man page
parametric_bootstrap.lme Man page
parametric_bootstrap.lmerMod Man page
reb_bootstrap Man page
reb_bootstrap.lme Man page
reb_bootstrap.lmerMod Man page
resid_bootstrap Man page
resid_bootstrap.lme Man page
resid_bootstrap.lmerMod Man page

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.