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rlme  

Rank-Based Estimation and Prediction in Random Effects Nested Models
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]
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 03 Dec. 2024.
Previous versions and publish date:
0.1 (2013-02-06 09:58), 0.2 (2013-07-22 01:00), 0.3 (2014-05-25 20:14), 0.4 (2014-06-10 07:02)
Other packages that cited rlme R package
View rlme citation profile
Other R packages that rlme depends, 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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