Calculate Predicted Means for Linear Models

This package provides functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', and 'lmer'. Inferences include predicted means and standard errors, contrasts, multiple comparisons, permutation tests and graphs.


News

Changelog for 'predictmeans' package

0.98 Corrected colour setting for 'PMplot' function Added an option 'bkplot' to control output of back transformed means plot in 'predictmeans' function Added Letter-based representation of pairwise comparisons

0.99 Updated code in 'Kmatrix' function to handle the situation such as log(x), sin(pi*x) Added an option 'trillis' to control output plot in 'covariatemeans' function

Reference manual

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install.packages("predictmeans")

0.99 by Dongwen Luo, 3 years ago


http://www.r-project.org


Browse source code at https://github.com/cran/predictmeans


Authors: Dongwen Luo, Siva Ganesh and John Koolaard


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, lattice, pbkrtest, plyr

Depends on lme4, nlme


See at CRAN