Package: pyinit 1.1.5

David Kepplinger

pyinit: Pena-Yohai Initial Estimator for Robust S-Regression

Deterministic Pena-Yohai initial estimator for robust S estimators of regression. The procedure is described in detail in Pena, D., & Yohai, V. (1999) <doi:10.2307/2670164>.

Authors:David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut]

pyinit_1.1.5.tar.gz
pyinit_1.1.5.tar.gz(r-4.7-arm64)pyinit_1.1.5.tar.gz(r-4.7-x86_64)pyinit_1.1.5.tar.gz(r-4.6-arm64)pyinit_1.1.5.tar.gz(r-4.6-x86_64)
pyinit_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
pyinit/json (API)
NEWS

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

Bug tracker:https://github.com/dakep/pyinit/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

4.20 score 10 packages 19 scripts 14k downloads 1 exports 2 dependencies

Last updated from:b8bb83be07. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK150
source / vignettesOK163
linux-release-arm64OK137
linux-release-x86_64OK94
wasm-releaseOK97

Exports:pyinit

Dependencies:DEoptimRrobustbase