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/>.

Travis-CI Build Status


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

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


0.5 by Yusuf Bilgic, 4 years ago

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

Authors: Yusuf Bilgic , Herb Susmann and Joseph McKean

Documentation:   PDF Manual  

Task views: Robust Statistical Methods

GPL (>= 2) license

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

Suggests testthat

Linking to Rcpp

See at CRAN