Package: polyreg 0.8.0

polyreg: Polynomial Regression

Automate formation and evaluation of polynomial regression models. The motivation for this package is described in 'Polynomial Regression As an Alternative to Neural Nets' by Xi Cheng, Bohdan Khomtchouk, Norman Matloff, and Pete Mohanty (<arxiv:1806.06850>).

Authors:Norm Matloff [aut, cre], Xi Cheng [aut], Pete Mohanty [aut], Bohdan Khomtchouk [aut], Matthew Kotila [aut], Robin Yancey [aut], Robert Tucker [aut], Allan Zhao [aut], Tiffany Jiang [aut]

polyreg_0.8.0.tar.gz
polyreg_0.8.0.zip(r-4.5)polyreg_0.8.0.zip(r-4.4)polyreg_0.8.0.zip(r-4.3)
polyreg_0.8.0.tgz(r-4.4-any)polyreg_0.8.0.tgz(r-4.3-any)
polyreg_0.8.0.tar.gz(r-4.5-noble)polyreg_0.8.0.tar.gz(r-4.4-noble)
polyreg_0.8.0.tgz(r-4.4-emscripten)polyreg_0.8.0.tgz(r-4.3-emscripten)
polyreg.pdf |polyreg.html
polyreg/json (API)

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

Peer review:

Bug tracker:https://github.com/matloff/polyreg/issues

Datasets:
  • pef - Silicon Valley programmers and engineers data

On CRAN:

4 exports 180 stars 5.30 score 1 dependencies 3 dependents 29 scripts 675 downloads

Last updated 2 years agofrom:9945187fb3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:FSRgetPolypolyFittoFactors

Dependencies:nnet

polyreg

Rendered frompolyreg.Rmdusingknitr::rmarkdownon Aug 30 2024.

Last update: 2021-11-21
Started: 2021-11-21

Readme and manuals

Help Manual

Help pageTopics
FSRFSR print.FSR summary.FSR
Get polynomial termsgetPoly polyMatrix
MiscellaneoustoFactors
Silicon Valley programmers and engineers datapef
Polynomial FitpolyFit predict.polyFit
predict.FSRpredict.FSR
Weather Time SeriesweatherTS