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insurancerating (version 0.7.2)

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

417

Version

0.7.2

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

74

Forks

17

Maintainer

Martin Haringa

Last Published

December 20th, 2022

Functions in insurancerating (0.7.2)

check_residuals

Check model residuals
check_overdispersion

Check overdispersion of Poisson GLM
construct_tariff_classes

Construct insurance tariff classes
construct_model_points

Construct model points from Generalized Linear Model
bootstrap_rmse

Bootstrapped RMSE
fit_gam

Generalized additive model
fisher

Fisher's natural breaks classification
biggest_reference

Set reference group to the group with largest exposure
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()
refit_glm

Refitting Generalized Linear Models
model_data

Get model data
fit_truncated_dist

Fit a distribution to truncated severity (loss) data
rating_factors1

Include reference group in regression output
histbin

Create a histogram with outlier bins
model_performance

Performance of fitted GLMs
period_to_months

Split period to months
reexports

Objects exported from other packages
rating_factors

Include reference group in regression output
reduce

Reduce portfolio by merging redundant date ranges
rows_per_date

Find active rows per date
summary.reduce

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

Root Mean Squared Error
rlnormt

Generate data from truncated lognormal distribution
restrict_coef

Restrict coefficients in the model
update_formula_add

Create new offset-term and new formula
rgammat

Generate data from truncated gamma distribution
update_glm

Refitting Generalized Linear Models
univariate

Univariate analysis for discrete risk factors
smooth_coef

Smooth coefficients in the model
autoplot.riskfactor

Automatically create a ggplot for objects obtained from rating_factors()
autoplot.restricted

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

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

Automatically create a ggplot for objects obtained from smooth_coef()
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.bootstrap_rmse

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

Add predictions to a data frame
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.