check_relativity

Performs assertions on inputted relativities, will raise an error if any checks
fail. Currently checks on the: necessary column names used in dataframe,
required factors and levels based on inputted <code>factors</code>, inputted relativities
being non-negative numbers.

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

check_relativity function

<dl><dt>factors</dt>
<dd>named list of vectors, containing the name of the covariates
and associated factors in vector form.</dd>
<dt>relativity</dt>
<dd>relativity dataframe as defined in <code>relativity_template</code>.</dd></dl>

Arguments

Function to check the input Covariate Relativities — check_relativity

<dl>

<dt>factors</dt>
<dd>named list of vectors, containing the name of the covariates
and associated factors in vector form.</dd>


<dt>relativity</dt>
<dd>relativity dataframe as defined in <code>relativity_template</code>.</dd>

</dl>

check_relativity: Function to check the input Covariate Relativities

Description

Usage

Arguments