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
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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

5.61 score 16 stars 51 scripts 312 downloads 3 exports 37 dependencies

Last updated 2 years agofrom:7ecbd747f2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:%>%get_differencepredict_gam

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Get started

Rendered fromget-started.Rmdusingknitr::rmarkdownon Oct 25 2024.

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