Package: MonoPoly 0.3-10

MonoPoly: Functions to Fit Monotone Polynomials

Functions for fitting monotone polynomials to data. Detailed discussion of the methodologies used can be found in Murray, Mueller and Turlach (2013) <doi:10.1007/s00180-012-0390-5> and Murray, Mueller and Turlach (2016) <doi:10.1080/00949655.2016.1139582>.

Authors:Berwin A. Turlach [aut, cre], Kevin Murray [ctb]

MonoPoly_0.3-10.tar.gz
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MonoPoly_0.3-10.tgz(r-4.6-x86_64)MonoPoly_0.3-10.tgz(r-4.6-arm64)MonoPoly_0.3-10.tgz(r-4.5-x86_64)MonoPoly_0.3-10.tgz(r-4.5-arm64)
MonoPoly_0.3-10.tar.gz(r-4.7-arm64)MonoPoly_0.3-10.tar.gz(r-4.7-x86_64)MonoPoly_0.3-10.tar.gz(r-4.6-arm64)MonoPoly_0.3-10.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
MonoPoly/json (API)

# Install 'MonoPoly' in R:
install.packages('MonoPoly', repos = c('https://berwinturlach.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • hawkins - Hawkins
  • w0 - Simulated w0 data used in Murray et al.
  • w2 - Simulated w2 data used in Murray et al.

On CRAN:

Conda:

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

2.16 score 2 packages 24 scripts 263 downloads 7 exports 1 dependencies

Last updated from:c287782d1e. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK101
linux-devel-x86_64OK96
source / vignettesOK112
linux-release-arm64OK101
linux-release-x86_64OK102
macos-release-arm64OK95
macos-release-x86_64OK167
macos-oldrel-arm64OK112
macos-oldrel-x86_64OK187
windows-develOK89
windows-releaseOK91
windows-oldrelOK85
wasm-releaseFAIL89

Exports:curvPolevalPolismonotonemonpolmonpol.controlmonpol.fitSOSpol.fit

Dependencies:quadprog