covariates_data

Constructs a <code>covariates_data</code> object which stores the dataset of known covariate levels of each factor.

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" <doi:10.48550/arXiv.2008.05693>.

Melantha Wang

SynthETIC

Synthetic Experience Tracking Insurance Claims

Benjamin Avanzi

William Ho

Greg Taylor

Bernard Wong

covariates_data function

<dl><dt>covariates</dt>
<dd>a <code>covariates</code> object</dd>
<dt>data</dt>
<dd>a dataset of covariate values, with columns equal to each of the covariate factors and rows related to individual claim observations.</dd>
<dt>covariates_id</dt>
<dd>optional list of list of ids, in the same format as a <code>claim_size</code> output. Also see <code>to_SynthETIC</code>. Defaults to <code>NULL</code>.</dd></dl>

Arguments

Construction of a covariates_data Object — covariates_data

<dl>

<dt>covariates</dt>
<dd>a <code>covariates</code> object</dd>


<dt>data</dt>
<dd>a dataset of covariate values, with columns equal to each of the covariate factors and rows related to individual claim observations.</dd>


<dt>covariates_id</dt>
<dd>optional list of list of ids, in the same format as a <code>claim_size</code> output. Also see <code>to_SynthETIC</code>. Defaults to <code>NULL</code>.</dd>

</dl>

covariates_data: Construction of a `covariates_data` Object

Description

Usage

Value

Arguments