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

• Fixed date in DESCRIPTION.

tidygam 0.2.1

• Fixed language field in DESCRIPTION.

tidygam 0.2.0

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.