Information Matrices for 'lmeStruct' and 'glsStruct' Objects

Provides analytic derivatives and information matrices for fitted linear mixed effects (lme) models and generalized least squares (gls) models estimated using lme() (from package 'nlme') and gls() (from package 'nlme'), respectively. The package includes functions for estimating the sampling variance-covariance of variance component parameters using the inverse Fisher information. The variance components include the parameters of the random effects structure (for lme models), the variance structure, and the correlation structure. The expected and average forms of the Fisher information matrix are used in the calculations, and models estimated by full maximum likelihood or restricted maximum likelihood are supported. The package also includes a function for estimating standardized mean difference effect sizes (Pustejovsky, Hedges, and Shadish (2014) ) based on fitted lme or gls models.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.3 by Man Chen, 9 months ago

Report a bug at

Browse source code at

Authors: James Pustejovsky [aut] , Man Chen [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports nlme, stats

Suggests covr, testthat, knitr, rmarkdown, scdhlm, dplyr, tidyr, mlmRev, carData, lme4, merDeriv

Imported by merDeriv, scdhlm.

Depended on by predictmeans.

See at CRAN