v0.6.4

• In summary.reduce(), name can be used to change the name of the new column in the output.
• Dataset MTPL now contains extra columns for power, bm, and zip.
• Some functions in insight are renamed, therefore insight::format_table() is replaced with insight::export_table().

v0.6.3

• fit_gam() for pure premium is now using average premium for each x calculated as sum(pure_premium * exposure) / sum(exposure) instead of sum(pure_premium) / sum(exposure) (#2).
• histbin() is added to create histograms with outliers
• reduce now returns a data.frame as output

v0.6.2

• check_normality() is now depreciated; use check_residuals() instead to detect overall deviations from the expected distribution
• rating_factors() now shows significance stars for p-values
• period_to_months() arithmetic operations with dates are rewritten; much faster
• univariate() now has argument by to determine summary statistics for different subgroups

v0.6.1

• univariate_all() and autoplot.univ_all() are now depreciated; use univariate() and autoplot.univariate() instead
• check_overdispersion(), check_normality(), model_performance(), bootstrap_rmse(), and add_prediction() are added to test model quality and return performance metrics
• reduce() is added to reduce an insurance portfolio by merging redundant date ranges

v0.6.0

• label_width in autoplot() is added to wrap long labels in multiple lines
• sort_manual in autoplot() is added to sort risk factors into an own ordering
• autoplot() now works without manually loading package ggplot2 and patchwork first
• rating_factors() now returns an object of class riskfactor
• autoplot.riskfactor() is added to create the corresponding plots to the output given by rating_factors()

v0.5.2

• autoplot.univ_all() now gives correct labels on the x-axis when ncol > 1.

v0.5.1

• A package website is added using pkgdown.
• construct_tariff_classes() and fit_gam() now only returns tariff classes and fitted gam respectively; other items are stored as attributes.
• univariate_frequency(), univariate_average_severity(), univariate_risk_premium(), univariate_loss_ratio(), univariate_average_premium(), univariate_exposure(), and univariate_all() are added to perform an univariate analysis on an insurance portfolio.
• autoplot() creates the corresponding plots to the summary statistics calculated by univariate_*.

v0.5.0

• Function construct_tariff_classes is now split in functions fit_gam and construct_tariff_classes.
• A vignette is added on how to use the package

v0.4.3

Function added to split rows with a time period longer than one month to multiple rows with a time period of exactly one month each.

v0.4.2

It is now possible to also construct tariff classes for claim severity models. This can be done by choosing 'severity' as model specification in the construct_tariff_classes function.