Package: tidygam 1.0.0

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_1.0.0.tar.gz
tidygam_1.0.0.tar.gz(r-4.5-noble)tidygam_1.0.0.tar.gz(r-4.4-noble)
tidygam_1.0.0.tgz(r-4.4-emscripten)tidygam_1.0.0.tgz(r-4.3-emscripten)
tidygam.pdf |tidygam.html
tidygam/json (API)
NEWS

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

Peer review:

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

Pkgdown:https://stefanocoretta.github.io

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

3.81 score 64 scripts 434 downloads 3 exports 37 dependencies

Last updated 6 days agofrom:14b193a0c4. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-linuxOKDec 18 2024

Exports:%>%get_differencepredict_gam

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Get started

Rendered fromget-started.Rmdusingknitr::rmarkdownon Dec 18 2024.

Last update: 2024-12-18
Started: 2023-05-09