Analytic Insurance Rating Techniques

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Documentation for package ‘insurancerating’ version 0.7.2

• DESCRIPTION file.
• Package NEWS.

Help Pages

add_prediction	Add predictions to a data frame
autoplot.bootstrap_rmse	Automatically create a ggplot for objects obtained from bootstrap_rmse()
autoplot.check_residuals	Automatically create a ggplot for objects obtained from check_residuals()
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.restricted	Automatically create a ggplot for objects obtained from restrict_coef()
autoplot.riskfactor	Automatically create a ggplot for objects obtained from rating_factors()
autoplot.smooth	Automatically create a ggplot for objects obtained from smooth_coef()
autoplot.truncated_dist	Automatically create a ggplot for objects obtained from fit_truncated_dist()
autoplot.univariate	Automatically create a ggplot for objects obtained from univariate()
biggest_reference	Set reference group to the group with largest exposure
bootstrap_rmse	Bootstrapped RMSE
check_overdispersion	Check overdispersion of Poisson GLM
check_residuals	Check model residuals
construct_model_points	Construct model points from Generalized Linear Model
construct_tariff_classes	Construct insurance tariff classes
fisher	Fisher's natural breaks classification
fit_gam	Generalized additive model
fit_truncated_dist	Fit a distribution to truncated severity (loss) data
histbin	Create a histogram with outlier bins
model_data	Get model data
model_performance	Performance of fitted GLMs
MTPL	Characteristics of 30,000 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
rating_factors1	Include reference group in regression output
reduce	Reduce portfolio by merging redundant date ranges
refit_glm	Refitting Generalized Linear Models
restrict_coef	Restrict coefficients in the model
rgammat	Generate data from truncated gamma distribution
rlnormt	Generate data from truncated lognormal distribution
rmse	Root Mean Squared Error
rows_per_date	Find active rows per date
smooth_coef	Smooth coefficients in the model
summary.reduce	Automatically create a summary for objects obtained from reduce()
univariate	Univariate analysis for discrete risk factors
update_glm	Refitting Generalized Linear Models