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
MonoPoly_0.3-10.zip(r-4.5)MonoPoly_0.3-10.zip(r-4.4)MonoPoly_0.3-10.zip(r-4.3)
MonoPoly_0.3-10.tgz(r-4.4-x86_64)MonoPoly_0.3-10.tgz(r-4.4-arm64)MonoPoly_0.3-10.tgz(r-4.3-x86_64)MonoPoly_0.3-10.tgz(r-4.3-arm64)
MonoPoly_0.3-10.tar.gz(r-4.5-noble)MonoPoly_0.3-10.tar.gz(r-4.4-noble)
MonoPoly.pdf |MonoPoly.html
MonoPoly/json (API)

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

Peer review:

Datasets:
  • hawkins - Hawkins
  • w0 - Simulated w0 data used in Murray et al.
  • w2 - Simulated w2 data used in Murray et al.

On CRAN:

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

7 exports 0.36 score 1 dependencies 1 dependents 21 scripts 291 downloads

Last updated 5 years agofrom:c287782d1e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-win-x86_64OKSep 09 2024
R-4.5-linux-x86_64OKSep 09 2024
R-4.4-win-x86_64OKSep 09 2024
R-4.4-mac-x86_64OKSep 09 2024
R-4.4-mac-aarch64OKSep 09 2024
R-4.3-win-x86_64OKSep 09 2024
R-4.3-mac-x86_64OKSep 09 2024
R-4.3-mac-aarch64OKSep 09 2024

Exports:curvPolevalPolismonotonemonpolmonpol.controlmonpol.fitSOSpol.fit

Dependencies:quadprog