Rank-Based Estimation and Prediction in Random Effects Nested Models

Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) < https://journal.r-project.org/archive/2013/RJ-2013-027/>.


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News

rlme 0.5

  • Added a NEWS.md file to track changes to the package.
  • Cleaned up package to pass R cmd check on R 3.4.3

Reference manual

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install.packages("rlme")

0.5 by Yusuf Bilgic, a year ago


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


Authors: Yusuf Bilgic , Herb Susmann and Joseph McKean


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MASS, quantreg, nlme, mgcv, stringr, magic, robustbase, Rcpp, stats, utils, graphics

Suggests testthat

Linking to Rcpp


See at CRAN