dataCar


This data set is based on  one-year vehicle insurance
policies taken out in 2004 or 2005. There are 67856 policies, of
which  4624 (6.8


datasets

Insurance datasets, which are often used in claims severity and claims frequency modelling. It helps testing new regression models in those problems, such as GLM, GLMM, HGLM, non-linear mixed models etc. Most of the data sets are applied in the project "Mixed models in ratemaking" supported by grant NN 111461540 from Polish National Science Center.

Alicja Wolny-Dominiak

insuranceData

A Collection of Insurance Datasets Useful in Risk Classification
in Non-life Insurance.

dataCar function

A data frame with 67856 observations on the following 11 variables.
  <dl>
    <dt><code>veh_value</code></dt><dd>vehicle value, in $10,000s</dd> <dt><code>exposure</code></dt><dd>0-1</dd> <dt><code>clm</code></dt><dd>occurrence of claim (0 = no, 1 = yes)</dd> <dt><code>numclaims</code></dt><dd>number of claims</dd> <dt><code>claimcst0</code></dt><dd>claim amount (0 if no claim)</dd> <dt><code>veh_body</code></dt><dd>vehicle body, coded as <code>BUS</code> <code>CONVT</code> <code>COUPE</code> <code>HBACK</code> <code>HDTOP</code> <code>MCARA</code> <code>MIBUS</code> <code>PANVN</code> <code>RDSTR</code> <code>SEDAN</code> <code>STNWG</code> <code>TRUCK</code> <code>UTE</code></dd> <dt><code>veh_age</code></dt><dd>1 (youngest), 2, 3, 4</dd> <dt><code>gender</code></dt><dd>a factor with levels <code>F</code> <code>M</code></dd> <dt><code>area</code></dt><dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code> <code>E</code> <code>F</code></dd> <dt><code>agecat</code></dt><dd>1 (youngest), 2, 3, 4, 5, 6</dd> <dt><code>X_OBSTAT_</code></dt><dd>a factor with levels <code>01101    0    0    0</code></dd> </dl> 

Format

http://www.acst.mq.edu.au/GLMsforInsuranceData

dataCar: data Car

Description

Usage

Arguments

Format

Source

Details

References

Examples