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coneproj: Primal or Dual Cone Projections with Routines for Constrained Regression

Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.

Version: 1.17
Depends: R (≥ 4.0)
Imports: Rcpp (≥ 0.10.4)
LinkingTo: RcppArmadillo, Rcpp
Suggests: stats, graphics, grDevices, utils
Published: 2023-10-15
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <xliao at sdsu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: coneproj citation info
Materials: ChangeLog
In views: Optimization
CRAN checks: coneproj results

Documentation:

Reference manual: coneproj.pdf

Downloads:

Package source: coneproj_1.17.tar.gz
Windows binaries: r-devel: coneproj_1.17.zip, r-release: coneproj_1.17.zip, r-oldrel: coneproj_1.17.zip
macOS binaries: r-release (arm64): coneproj_1.17.tgz, r-oldrel (arm64): coneproj_1.17.tgz, r-release (x86_64): coneproj_1.17.tgz, r-oldrel (x86_64): coneproj_1.17.tgz
Old sources: coneproj archive

Reverse dependencies:

Reverse depends: ADDT, cgam, ConSpline, DoubleCone, isotonic.pen, ShapeChange, ShapeSelectForest
Reverse imports: cgaim, csurvey, mlt, tbm, tramME
Reverse suggests: basefun

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coneproj to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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