Package: lsei 1.3-1

lsei: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints

It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <https://www.netlib.org/lawson-hanson/>.

Authors:Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]

lsei_1.3-1.tar.gz
lsei_1.3-1.zip(r-4.7-x86_64)lsei_1.3-1.zip(r-4.7-arm64)lsei_1.3-1.zip(r-4.6-x86_64)lsei_1.3-1.zip(r-4.6-arm64)lsei_1.3-1.zip(r-4.5-x86_64)
lsei_1.3-1.tgz(r-4.6-x86_64)lsei_1.3-1.tgz(r-4.6-arm64)lsei_1.3-1.tgz(r-4.5-x86_64)lsei_1.3-1.tgz(r-4.5-arm64)
lsei_1.3-1.tar.gz(r-4.7-arm64)lsei_1.3-1.tar.gz(r-4.7-x86_64)lsei_1.3-1.tar.gz(r-4.6-arm64)lsei_1.3-1.tar.gz(r-4.6-x86_64)
lsei_1.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lsei/json (API)

# Install 'lsei' in R:
install.packages('lsei', repos = c('https://yong3738.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

3.07 score 7 packages 54 scripts 1.0k downloads 10 exports 0 dependencies

Last updated from:d53d0ce071. Checks:14 OK, 1 WARNING. Indexed: yes.

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linux-devel-x86_64OK147
source / vignettesOK136
linux-release-arm64OK87
linux-release-x86_64OK127
macos-release-arm64OK99
macos-release-x86_64OK167
macos-oldrel-arm64OK70
macos-oldrel-x86_64OK158
windows-devel-arm64OK303
windows-devel-x86_64OK104
windows-release-arm64WARNING302
windows-release-x86_64OK65
windows-oldrel-x86_64OK68
wasm-releaseOK84

Exports:hftiindxldplseilsimatMaxsnnlspnnlspnnqpqp

Dependencies: