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rlme
View on CRAN: Click
here
Download and install rlme package within the R console
Install from CRAN:
install.packages("rlme")
Install from Github:
library("remotes")
install_github("cran/rlme") Install by package version:
library("remotes")
install_version("rlme", "0.5") Attach the package and use:
library("rlme")
Maintained by
Yusuf Bilgic
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-06
Latest Update: 2018-01-09
Description:
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) .
How to cite:
Yusuf Bilgic (2013). rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models. R package version 0.5, https://cran.r-project.org/web/packages/rlme. Accessed 27 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for rlme
Functions, R codes and Examples using
the rlme R package
Some associated functions: GEER_est . GR_est . JR_est . LM_est . beta_var . compare.fits . dispvar . fitdvcov . getgrstplot . getlmestplot . hbrwts_gr . instruction . lmr . minimize_dispersion . plot.rlme . rhosch . rhosect . rlme-package . rlme . rpr . rprmeddis . schools . stanresidgr . summary.rlme . wilonestep . wilstep .
Some associated R codes: RcppExports.R . lmr.R . package.R . rpr.R . Full rlme package functions and examples
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