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 <http://www.netlib.org/lawson-hanson/>.

Version:	1.3-0
Published:	2020-09-17
Author:	Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]
Maintainer:	Yong Wang <yongwang at auckland.ac.nz>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.stat.auckland.ac.nz/~yongwang/
NeedsCompilation:	yes
In views:	Optimization
CRAN checks:	lsei results

Documentation:

Reference manual:

lsei.pdf

Downloads:

Package source:	lsei_1.3-0.tar.gz
Windows binaries:	r-devel: lsei_1.3-0.zip, r-release: lsei_1.3-0.zip, r-oldrel: lsei_1.3-0.zip
macOS binaries:	r-release (arm64): lsei_1.3-0.tgz, r-oldrel (arm64): lsei_1.3-0.tgz, r-release (x86_64): lsei_1.3-0.tgz, r-oldrel (x86_64): lsei_1.3-0.tgz
Old sources:	lsei archive

Reverse dependencies:

Reverse depends:	npsurv, nspmix
Reverse suggests:	ivmte

Linking:

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