Package: spcr 2.1.1

Shuichi Kawano

spcr: Sparse Principal Component Regression

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

Authors:Shuichi Kawano

spcr_2.1.1.tar.gz
spcr_2.1.1.tar.gz(r-4.5-noble)spcr_2.1.1.tar.gz(r-4.4-noble)
spcr_2.1.1.tgz(r-4.4-emscripten)spcr_2.1.1.tgz(r-4.3-emscripten)
spcr.pdf |spcr.html✨
spcr/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS

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

4 exports 1 stars 0.36 score 0 dependencies 1 mentions 4 scripts 414 downloads

Last updated 2 years agofrom:c2d0890a4b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-linux-x86_64OKAug 30 2024

Exports:cv.spcrcv.spcrglmspcrspcrglm

Dependencies: