Package: tidygam 0.2.0

Stefano Coretta

tidygam: Tidy Prediction and Plotting of Generalised Additive Models

Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().

Authors:Stefano Coretta [aut, cre]

tidygam_0.2.0.tar.gz
tidygam_0.2.0.zip(r-4.5)tidygam_0.2.0.zip(r-4.4)tidygam_0.2.0.zip(r-4.3)
tidygam_0.2.0.tgz(r-4.4-any)tidygam_0.2.0.tgz(r-4.3-any)
tidygam_0.2.0.tar.gz(r-4.5-noble)tidygam_0.2.0.tar.gz(r-4.4-noble)
tidygam_0.2.0.tgz(r-4.4-emscripten)tidygam_0.2.0.tgz(r-4.3-emscripten)
tidygam.pdf |tidygam.html
tidygam/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/stefanocoretta/tidygam/issues

Datasets:
  • gest - Number of gestures by infants at 10, 11 and 12 months
  • struct - ERP to structural violation in music and language

On CRAN:

software

3 exports 16 stars 1.77 score 37 dependencies 49 scripts 377 downloads

Last updated 1 years agofrom:7ecbd747f2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:%>%get_differencepredict_gam

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Get started

Rendered fromget-started.Rmdusingknitr::rmarkdownon Aug 26 2024.

Last update: 2023-05-07
Started: 2022-06-06