Analytic Insurance Rating Techniques

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Documentation for package ‘insurancerating’ version 0.5.2

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autoplot.constructtariffclasses Automatically create a ggplot for objects obtained from construct_tariff_classes()
autoplot.fitgam Automatically create a ggplot for objects obtained from fit_gam()
autoplot.univ_all Automatically create a ggplot for objects obtained from univariate_all()
autoplot.univ_avgpremium Automatically create a ggplot for objects obtained from univariate_average_premium()
autoplot.univ_avgsev Automatically create a ggplot for objects obtained from univariate_average_severity()
autoplot.univ_exposure Automatically create a ggplot for objects obtained from univariate_exposure()
autoplot.univ_freq Automatically create a ggplot for objects obtained from univariate_frequency()
autoplot.univ_lossratio Automatically create a ggplot for objects obtained from univariate_loss_ratio()
autoplot.univ_premium Automatically create a ggplot for objects obtained from univariate_risk_premium()
biggest_reference Set reference group to the group with largest exposure
construct_tariff_classes Construct insurance tariff classes
fisher Fisher's natural breaks classification
fit_gam Generalized additive model
get_splits Get splits from partykit object
MTPL Ages of 32,731 policyholders in a Motor Third Party Liability (MTPL) portfolio.
MTPL2 Characteristics of 3,000 policyholders in a Motor Third Party Liability (MTPL) portfolio.
period_to_months Split period to months
rating_factors Include reference group in regression output
univariate_all Univariate analysis for discrete risk factors
univariate_average_premium Univariate average premium
univariate_average_severity Univariate average claim severity
univariate_exposure Univariate exposure
univariate_frequency Univariate claim frequency
univariate_loss_ratio Univariate loss ratio
univariate_risk_premium Univariate risk premium