smoothic 1.2.1

• fix Rd cross-references for new CRAN HTML docs

• remove custom domain from description

smoothic 1.2.0

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

• minor update to improve the documentation of some functions

smoothic 1.1.0

• 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()

smoothic 1.0.0

• 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

smoothic 0.1.0

• 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"