Package: rlme 0.5.9001

Yusuf Bilgic

rlme: 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/>. Compatibility updates by Renova.

Authors:Yusuf Bilgic [aut, cre], Herb Susmann [aut], Joseph McKean [aut]

rlme_0.5.9001.tar.gz
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rlme_0.5.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rlme/json (API)

# Install 'rlme' in R:
install.packages('rlme', repos = c('https://renova-r.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/renova-r/rlme/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.02 score 21 scripts 140 downloads 21 exports 22 dependencies

Last updated from:a25030e0ba (on renova-0.5.9001). Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK122
linux-devel-x86_64OK153
source / vignettesOK187
linux-release-arm64OK115
linux-release-x86_64OK151
macos-release-arm64OK156
macos-release-x86_64OK302
macos-oldrel-arm64OK136
macos-oldrel-x86_64OK393
windows-devel-arm64OK218
windows-devel-x86_64OK275
windows-release-arm64OK233
windows-release-x86_64OK228
windows-oldrel-x86_64OK212
wasm-releaseOK104

Exports:beta_varcompare.fitsdispvarfitdvcovGEER_estgetgrstplotgetlmestplotGR_esthbrwts_grJR_estLM_estlmrminimize_dispersionrhoschrhosectrlmerprrprmeddisstanresidgrwilonestepwilstep

Dependencies:abindcliDEoptimRgluelatticelifecyclemagicmagrittrMASSMatrixMatrixModelsmgcvnlmequantregRcpprlangrobustbaseSparseMstringistringrsurvivalvctrs