Package: fRLR 1.3.0

Lijun Wang

fRLR: Fit Repeated Linear Regressions

When fitting a set of linear regressions which have some same variables, we can separate the matrix and reduce the computation cost. This package aims to fit a set of repeated linear regressions faster. More details can be found in this blog Lijun Wang (2017) <https://stats.hohoweiya.xyz/regression/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/>.

Authors:Lijun Wang [aut, cre, cph]

fRLR_1.3.0.tar.gz
fRLR_1.3.0.tar.gz(r-4.5-noble)fRLR_1.3.0.tar.gz(r-4.4-noble)
fRLR_1.3.0.tgz(r-4.4-emscripten)fRLR_1.3.0.tgz(r-4.3-emscripten)
fRLR.pdf |fRLR.html✨
fRLR/json (API)

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

Peer review:

Bug tracker:https://github.com/szcf-weiya/frlr/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

gslcppopenmp

2.11 score 13 scripts 200 downloads 2 exports 1 dependencies

Last updated 1 years agofrom:726510b771. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64OKDec 05 2024

Exports:frlr1frlr2

Dependencies:Rcpp

fRLR: Fit Repeated Linear Regressions

Rendered fromfRLR.Rmdusingknitr::rmarkdownon Dec 05 2024.

Last update: 2023-10-12
Started: 2021-07-28