Package: rlme 0.5

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/>.

Authors:Yusuf Bilgic, Herb Susmann and Joseph McKean

rlme_0.5.tar.gz
rlme_0.5.tar.gz(r-4.5-noble)rlme_0.5.tar.gz(r-4.4-noble)
rlme_0.5.tgz(r-4.4-emscripten)rlme_0.5.tgz(r-4.3-emscripten)
rlme.pdf |rlme.html✨
rlme/json (API)
NEWS

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

21 exports 0.00 score 22 dependencies 18 scripts 499 downloads

Last updated 7 years agofrom:21b2cf8760. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-linux-x86_64OKAug 20 2024

Exports:beta_varcompare.fitsdispvarfitdvcovGEER_estgetgrstplotgetlmestplotGR_esthbrwts_grJR_estLM_estlmrminimize_dispersionrhoschrhosectrlmerprrprmeddisstanresidgrwilonestepwilstep

Dependencies:abindcliDEoptimRgluelatticelifecyclemagicmagrittrMASSMatrixMatrixModelsmgcvnlmequantregRcpprlangrobustbaseSparseMstringistringrsurvivalvctrs