# Analytic Insurance Rating Techniques

## 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