The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

insurancerating 0.7.5

• rating_factors() now always returns correct output when column with exposure in data is not named exposure
• intercept_only in update_glm() is added to apply the manual changes and refit the intercept, ensuring that the changes have no impact on the other variables.
• smoothing in smooth_coef() is added to choose smoothing specification
• The README has been revised

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.