Package: npregfast 1.5.2

Marta Sestelo

npregfast: Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

A method for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines. Additionally, a parametric model (allometric model) can be estimated.

Authors:Marta Sestelo [aut, cre], Nora M. Villanueva [aut], Javier Roca-Pardinas [aut]

npregfast_1.5.2.tar.gz
npregfast_1.5.2.tar.gz(r-4.5-noble)npregfast_1.5.2.tar.gz(r-4.4-noble)
npregfast_1.5.2.tgz(r-4.4-emscripten)npregfast_1.5.2.tgz(r-4.3-emscripten)
npregfast.pdf |npregfast.html✨
npregfast/json (API)
NEWS

# Install 'npregfast' in R:
install.packages('npregfast', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/sestelo/npregfast/issues0 issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

Conda:r-npregfast-1.5.2(2025-03-25)

fortran

2.48 score 2 packages 307 downloads 8 exports 58 dependencies

Last updated 3 years agofrom:b24e302de4. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-linux-x86_64OKMar 27 2025
R-4.4-linux-x86_64OKMar 27 2025

Exports:allotestautoplotcriticalcriticaldifffrfastglobaltestlocaltestrunExample

Dependencies:base64encbslibcachemclicodetoolscolorspacecommonmarkcrayondigestdoParallelfansifarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangsassscalessfsmiscshinyshinyjssourcetoolstibbleutf8vctrsviridisLitewesandersonwithrxtable

Citation

To cite npregfast in publications use:

Sestelo M, Villanueva NM, Meira-Machado L, Roca-Pardiñas J (2017). “npregfast: An R Package for Nonparametric Estimation and Inference in Life Sciences.” Journal of Statistical Software, 82(12), 1–27. doi:10.18637/jss.v082.i12.

Corresponding BibTeX entry: 

  @Article{,
    title = {{npregfast}: An {R} Package for Nonparametric Estimation
      and Inference in Life Sciences},
    author = {Marta Sestelo and Nora M. Villanueva and Luis
      Meira-Machado and Javier Roca-Pardi{\~n}as},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {82},
    number = {12},
    pages = {1--27},
    doi = {10.18637/jss.v082.i12},
  }

Readme and manuals

npregfast: Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

npregfast is an R package for obtain nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines. Additionally, a parametric model (allometric model) can be estimated. Particular features of the package are facilities for fast smoothness estimation, and the calculation of their first and second derivative. Users can define the smoothers parameters. Confidence intervals calculation is provided by bootstrap methods. Binning techniques were applied to speed up computation in the estimation and testing processes.

You can view a live interactive demo to see part of its capabilities at http://sestelo.shinyapps.io/npregfast.

Installation

npregfast is available through both CRAN and GitHub.

Get the released version from CRAN:

install.packages("npregfast")

Or the development version from GitHub:

# install.packages("devtools")
devtools::install_github("sestelo/npregfast")