Package: robustBLME 0.1.3

Erlis Ruli

robustBLME: Robust Bayesian Linear Mixed-Effects Models using ABC

Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) <arxiv:1706.01752>.

Authors:Erlis Ruli [aut, cre], Nicola Sartori [aut], Laura Ventura [aut]

robustBLME_0.1.3.tar.gz
robustBLME_0.1.3.tar.gz(r-4.5-noble)robustBLME_0.1.3.tar.gz(r-4.4-noble)
robustBLME_0.1.3.tgz(r-4.4-emscripten)robustBLME_0.1.3.tgz(r-4.3-emscripten)
robustBLME.pdf |robustBLME.html
robustBLME/json (API)

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

Peer review:

Bug tracker:https://github.com/erlisr/robustblme/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • ergoStool - Ergometrics experiment with stool types

openblascpp

1.70 score 2 scripts 130 downloads 4 exports 17 dependencies

Last updated 7 years agofrom:aa548f112d. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linux-x86_64OKDec 22 2024

Exports:hpdkdeFSBTrblmetune.h

Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqamvtnormnlmenloptrnumDerivRcppRcppArmadilloRcppEigen