v0.7.3

• autoplot.univariate() now generates a plot even when there are missing values in the rows
• rating_factors() now always returns the correct coefficients when used on a 'refitsmooth' or 'refitrestricted' class of GLM

v0.7.2

• update_glm() now always returns the correct interval in case the function is used in combination with smooth_coef()

v0.7.1

• rotate_angle in autoplot.univariate() is added to rotate x-labels
• univariate() now accepts external vectors for x; vec_ext() must be used

v0.7.0

• smooth_coef() now gives correct results for intervals with scientific notation
• reduce() now returns no errors anymore for columns with dates in POSIXt format

v0.6.9

• refit_glm() is renamed to update_glm()
• construct_model_points() and model_data() are added to create model points

v0.6.8

• show_total in autoplot.univariate() is added to add line for total of groups in case by is used in univariate(); total_color can be used to change the color of the line, and total_name is added to change the name of the legend for the line
• rating_factors() now accepts GLMs with an intercept only
• fit_truncated_dist() is added to fit the original distribution (gamma, lognormal) from truncated severity data
• join_to_nearest() now returns NA in case NA is used as input

v0.6.7

• smooth_coef() now returns an error message when intervals are not obtained by cut()
• get_data() is added to return the data used in refit_glm()

v0.6.6

• summary.reduce() now gives correct aggregation for periods "months" and "quarters"
• rows_per_date() is added to determine active portfolio for a certain date

v0.6.5

• smooth_coef() and restrict_coef() are added for model refinement
• histbin() now uses darkblue as default fill color

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().