Package: HMMEsolver 0.1.2

Jiwoong Kim

HMMEsolver: A Fast Solver for Henderson Mixed Model Equation via Row Operations

Consider the linear mixed model with normal random effects. A typical method to solve Henderson's Mixed Model Equations (HMME) is recursive estimation of the fixed effects and random effects. We provide a fast, stable, and scalable solver to the HMME without computing matrix inverse. See Kim (2017) <arxiv:1710.09663> for more details.

Authors:Jiwoong Kim [aut, cre]

HMMEsolver_0.1.2.tar.gz
HMMEsolver_0.1.2.tar.gz(r-4.5-noble)HMMEsolver_0.1.2.tar.gz(r-4.4-noble)
HMMEsolver_0.1.2.tgz(r-4.4-emscripten)HMMEsolver_0.1.2.tgz(r-4.3-emscripten)
HMMEsolver.pdf |HMMEsolver.html
HMMEsolver/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

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

openblascpp

1.00 score 1 scripts 148 downloads 1 exports 4 dependencies

Last updated 6 years agofrom:9d44aa8098. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linux-x86_64NOTENov 29 2024

Exports:SolveHMME

Dependencies:rbibutilsRcppRcppArmadilloRdpack