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insurancerating (version 0.6.3)

Analytic Insurance Rating Techniques

Description

Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) . It also provides recipes on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.

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Install

install.packages('insurancerating')

Monthly Downloads

472

Version

0.6.3

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

73

Forks

17

Maintainer

Martin Haringa

Last Published

October 28th, 2020

Functions in insurancerating (0.6.3)

fisher

Fisher's natural breaks classification
univariate

Univariate analysis for discrete risk factors
check_overdispersion

Check overdispersion of Poisson GLM
summary.reduce

Automatically create a summary for objects obtained from reduce()
bootstrap_rmse

Bootstrapped RMSE
period_to_months

Split period to months
rating_factors

Include reference group in regression output
model_performance

Performance of fitted GLMs
histbin

Create a histogram with outlier bins
autoplot.riskfactor

Automatically create a ggplot for objects obtained from rating_factors()
check_residuals

Check model residuals
construct_tariff_classes

Construct insurance tariff classes
rating_factors1

Include reference group in regression output
fit_gam

Generalized additive model
reduce

Reduce portfolio by merging redundant date ranges
rmse

Root Mean Squared Error
reexports

Objects exported from other packages
MTPL

Ages of 32,731 policyholders in a Motor Third Party Liability (MTPL) portfolio.
autoplot.fitgam

Automatically create a ggplot for objects obtained from fit_gam()
MTPL2

Characteristics of 3,000 policyholders in a Motor Third Party Liability (MTPL) portfolio.
autoplot.univariate

Automatically create a ggplot for objects obtained from univariate()
biggest_reference

Set reference group to the group with largest exposure
autoplot.constructtariffclasses

Automatically create a ggplot for objects obtained from construct_tariff_classes()
autoplot.check_residuals

Automatically create a ggplot for objects obtained from check_residuals()
add_prediction

Add predictions to a data frame
autoplot.bootstrap_rmse

Automatically create a ggplot for objects obtained from bootstrap_rmse()