Changes in version 1.0.0 (2024-12-18)                  

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.

                 Changes in version 0.2.2 (2024-12-07)                  

  - Fixed date in DESCRIPTION.

                        Changes in version 0.2.1                        

  - Fixed language field in DESCRIPTION.

                 Changes in version 0.2.0 (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).

                        Changes in version 0.1.0                        

  - First minor release of the package.

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