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insurancerating (development version)

insurancerating 0.7.4

  • bootstrap_rmse() now uses after_stat(density) instead of the deprecated dot-dot notation
  • custom_theme in autoplot.univariate() is added to customize the theme

insurancerating 0.7.3

  • 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.

insurancerating 0.7.2

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

insurancerating 0.7.1

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

insurancerating 0.7.0

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

insurancerating 0.6.9

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

insurancerating 0.6.8

  • 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

insurancerating 0.6.7

  • 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()

insurancerating 0.6.6

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

insurancerating 0.6.5

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

insurancerating 0.6.4

  • 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().

insurancerating 0.6.3

  • 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

insurancerating 0.6.2

  • 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

insurancerating 0.6.1

  • 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

insurancerating 0.6.0

  • 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()

insurancerating 0.5.2

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

insurancerating 0.5.1

  • 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_*.

insurancerating 0.5.0

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

insurancerating 0.4.3

  • period_to_months() is added to split rows with a time period longer than one month to multiple rows with a time period of exactly one month each.

insurancerating 0.4.2

  • In construct_tariff_classes(), model now also accepts 'severity' as specification.