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-4.5-any)polyreg_0.8.0.tgz(r-4.4-any)polyreg_0.8.0.tgz(r-4.3-any)
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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'))

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

Datasets:
  • pef - Silicon Valley programmers and engineers data

On CRAN:

Conda:

8.18 score 180 stars 4 packages 28 scripts 675 downloads 4 exports 1 dependencies

Last updated 3 years agofrom:9945187fb3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:FSRgetPolypolyFittoFactors

Dependencies:nnet

polyreg

Matloff, Mohanty

Rendered frompolyreg.Rmdusingknitr::rmarkdownon Mar 28 2025.

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