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Changelog

Source: NEWS.md

tidygam 1.0.0

SOFT-BREAKING

  • Now predict_gam() uses the lpmatrix predictions which means that when excluding terms the user will have to set a value for the excluded variable.

  • This is especially relevant when excluding (random) factor smooths: the user should pick a value for the random variable in the smooth to avoid the same predictions being output for all levels in the random variable (see the Get started vignette for examples).

  • Note that older code will still work but will produce duplicated predictions.

Changed

  • Now predict_gam() uses the lpmatrix predictions. It is now possible to exclude any terms, smooth or parametric.

Developer

  • Update renv and packages.

tidygam 0.2.2

CRAN release: 2024-12-07

  • Fixed date in DESCRIPTION.

tidygam 0.2.1

  • Fixed language field in DESCRIPTION.

tidygam 0.2.0

CRAN release: 2023-05-09

Added

  • get_difference() returns difference between two smooths.

  • plot.tidygam.diff method to plot difference smooth.

  • Data gest and struct.

  • separate and sep_by arguments in predict_gam() allow the user to separate variables in the model that were created with interaction().

  • Vignette get-started.Rmd.

Fixed

  • Error when predicting bivariate smooths (s/te/ti(), fs/re basis functions) where only the first variable was returned internally.

  • Error when plotting difference smooth with no significant difference (closes #5).

  • Error where get_difference() did not work when excluding random smooths (closes #8).

tidygam 0.1.0

  • First minor release of the package.

  • Added a NEWS.md file to track changes to the package.