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:
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')) |
- instruction - Instruction
- schools - PISA Literacy Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:21b2cf8760. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | OK | Nov 03 2024 |
Exports:beta_varcompare.fitsdispvarfitdvcovGEER_estgetgrstplotgetlmestplotGR_esthbrwts_grJR_estLM_estlmrminimize_dispersionrhoschrhosectrlmerprrprmeddisstanresidgrwilonestepwilstep
Dependencies:abindcliDEoptimRgluelatticelifecyclemagicmagrittrMASSMatrixMatrixModelsmgcvnlmequantregRcpprlangrobustbaseSparseMstringistringrsurvivalvctrs
