rlme (0.5)

0 users

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) .

Maintainer: Yusuf Bilgic
Author(s): Yusuf Bilgic, Herb Susmann and Joseph McKean

License: GPL (>= 2)

Uses: magic, MASS, mgcv, nlme, quantreg, Rcpp, robustbase, stringr, testthat

Released over 2 years ago.

4 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of rlme yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for rlme on google, google scholar, r-help, r-devel.

Visit rlme on R Graphical Manual.