test_covariates_obj

A list containing the frequency and severity relativities for three factors.

datasets

Creation of an individual claims simulator which generates various
features of non-life insurance claims. An initial set of test parameters,
designed to mirror the experience of an Auto Liability portfolio, were set
up and applied by default to generate a realistic test data set of
individual claims (see vignette). The simulated data set then allows
practitioners to back-test the validity of various reserving models and to
prove and/or disprove certain actuarial assumptions made in claims
modelling. The distributional assumptions used to generate this data set can
be easily modified by users to match their experiences. Reference: Avanzi B,
Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim
simulator with feature control" <arXiv:2008.05693>.

Melantha Wang

SynthETIC

Synthetic Experience Tracking Insurance Claims

Benjamin Avanzi

William Ho

Greg Taylor

Bernard Wong

test_covariates_obj function

A <code>covariates</code> object with 3 components:<dl>
<dt>factors</dt>
<dd>list; levels within each factor.</dd><dt>relativity_freq</dt>
<dd>data.frame; first and second order frequency relativities between all the levels of each factor</dd><dt>relativity_sev</dt>
<dd>data.frame; first and second order severity relativities between all the levels of each factor</dd>
</dl>

Format

Covariates Object — test_covariates_obj

A <code>covariates</code> object with 3 components:<dl>
<dt>factors</dt>
<dd>list; levels within each factor.</dd>

<dt>relativity_freq</dt>
<dd>data.frame; first and second order frequency relativities between all the levels of each factor</dd>

<dt>relativity_sev</dt>
<dd>data.frame; first and second order severity relativities between all the levels of each factor</dd>


</dl>

test_covariates_obj: Covariates Object

Description

Usage

Arguments

Format

Examples