This package offers three important components: (1) to construct a use-defined linear mixed model, (2) to employ one of linear mixed model approaches: minimum norm quadratic unbiased estimation (MINQUE) (Rao, 1971) for variance component estimation and random effect prediction; and (3) to employ a jackknife resampling technique to conduct various statistical tests. In addition, this package provides the function for model or data evaluations.This R package offers fast computations for large data sets analyses for various irregular data structures.
|Date of publication||2014-09-08 06:58:28|
|Maintainer||Jixiang Wu <firstname.lastname@example.org>|
brate: Cotton boll retention rate data
cot: Twenty four cotton genotypes with four agronomic traits
lmm: An R function for linear mixed model analysis.
lmm.check: An R function to obtain information from a linear mixed model
lmm.jack: An R function for linear mixed model analysis
lmm.perm: An R function for linear mixed model analysis and permutation...
lmm.simu: An R function for linear mixed model simulation.
lmm.simudata: An R function to generate a simulated data set
lmm.simu.jack: An R function for linear mixed model simulation.
maize: Maize variety trial
mq-package: An R Package for Various Linear Mixed Models Analyses
ncii: NC design II F1 data