Mixed Model ANOVA and Statistics for Education

The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.


Mixed Model ANOVA and Statistics for Education - mixlm

Installation

# Install release version from CRAN  
install.packages("mixlm")  
# Install development version from GitHub  
devtools::install_github("khliland/mixlm")

Contents

  • Linear mixed models:
    • Classical LMM using r() around random effects, e.g., y ~ x * r(z).
    • Support for various coding schemes.
    • Sums-of-squares type I/II/III.
    • Support for REML/ML.
  • Textbook versions of statistical methods:
    • Step-wise variable selection methods.
    • Best subsets.

Reference manual

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install.packages("mixlm")

1.4.3 by Kristian Hovde Liland, a year ago


https://github.com/khliland/mixlm/


Report a bug at https://github.com/khliland/mixlm/issues/


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


Authors: Kristian Hovde Liland [aut, cre] , Solve Sæbø¸ [ctb] , R Core Team [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports car, pls, multcomp, pracma, leaps

Suggests lme4


Imported by HDANOVA, gemR, multiblock.

Depended on by RcmdrPlugin.NMBU.


See at CRAN