Package: npregfast 1.5.2
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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sestelo/npregfast/issues
Last updated 2 years agofrom:b24e302de4. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux-x86_64 | OK | Nov 27 2024 |
Exports:allotestautoplotcriticalcriticaldifffrfastglobaltestlocaltestrunExample
Dependencies:base64encbslibcachemclicodetoolscolorspacecommonmarkcrayondigestdoParallelfansifarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangsassscalessfsmiscshinyshinyjssourcetoolstibbleutf8vctrsviridisLitewesandersonwithrxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrap based test for testing an allometric model | allotest |
Visualization of 'frfast' objects with ggplot2 graphics | autoplot.frfast |
Barnacle dataset. | barnacle |
Children dataset. | children |
Critical points of the regression function | critical |
Differences between the critical points for two factor's levels | criticaldiff |
Fitting nonparametric models | frfast |
Testing the equality of the _M_ curves specific to each level | globaltest |
Testing the equality of critical points | localtest |
Visualization of 'frfast' objects with the base graphics | plot.frfast |
Prediction from fitted 'frfast' model | predict.frfast |
Run npregfast example | runExample |
Summarizing fits of 'frfast' class | print.frfast summary.frfast |