Changes in version 1.2.1 (2025-09-16)                  

  - fix Rd \link{} cross-references for new CRAN HTML docs

  - remove custom domain from description

                 Changes in version 1.2.0 (2023-08-22)                  

  - minor update to plot_effects() function to increase flexibility of
    plotting different quantile values

  - minor update to improve the documentation of some functions

                 Changes in version 1.1.0 (2023-06-13)                  

  - minor update to the smoothic() function to include a vector of the
    maximum iterations to be performed at each epsilon-telescope step
    (computationally advantageous)

  - addition of the plot_effects() plotting function to plot the
    model-based conditional density curves for different covariate
    combinations

  - addition of the plot_paths() plotting function to plot the
    standardized coefficient values through the epsilon-telescope

  - addition of the predict.smoothic()

                 Changes in version 1.0.0 (2022-12-15)                  

  - major update to the smoothic() function to include different
    families of distributions

  - addition of the "smooth generalized normal distribution", where an
    additional shape parameter is estimated relating to the kurtosis of
    the error distribution (shape parameter can also be fixed at a
    user-supplied value)

  - new option to use nlm() for optimization (optimizer = "nlm") or to
    use the manually coded Newton-Raphson method (optimizer = "manual")

  - addition of the Laplace distribution, which corresponds to robust
    regression where the errors are heavy-tailed

  - new dataset bostonhouseprice2, which is a corrected version of the
    original bostonhouseprice data

  - new dataset diabetes

                 Changes in version 0.1.0 (2021-10-27)                  

  - initial release

  - two datasets bostonhouseprice and sniffer

  - automatic variable selection using the smoothic function

  - can choose between distributional regression (multi-parameter) with
    model = "mpr" and location-only regression (single parameter) with
    model = "spr"