作者: Ulrich Halekoh , Søren Højsgaard
关键词: Sample size determination 、 Mathematical optimization 、 Mean value 、 Mathematics 、 Structure (category theory) 、 Generalized linear mixed model 、 Applied mathematics 、 Reduction (complexity) 、 Residual 、 Parametric statistics 、 R package
摘要: When testing for reduction of the mean value structure in linear mixed models, it is common to use an asymptotic ?2 test. Such tests can, however, be very poor small and moderate sample sizes. The pbkrtest package implements two alternatives such approximate tests: (1) a Kenward-Roger approximation performing F (2) parametric bootstrap methods achieving same goal. implementation focused on models with independent residual errors. In addition describing aspects their implementation, paper also contains several examples comparison various methods.