claims_by_first_report: Claims by first report
In PirateGrunt/imaginator: Simulate General Insurance Policies and Losses

Description Usage Arguments Details Value Examples

View source: R/ClaimsByFirstReport.R

Given a data frame of policies, this will simulate the number of claims- and their initial payment- per policy by the development lag at which they are first reported.

1	claims_by_first_report(tbl_policy, frequency, payment_severity, lags)

`tbl_policy`	A policy data frame.
`frequency`	A list of the same length as 'lags' of number of claims per policy or their distributions.
`payment_severity`	A list of the same length as 'lags' of payment amount for each claim or their distributions.
`lags`	A vector of lags as integers.

Creates a data frame with randomly generated claim values.

A claims data frame

# This will generate a claim data frame which has 1,000 records
# each of which has a severity of 100
tbl_policy <- policy_year_new(100, 2001)
tbl_claims <- claims_by_first_report(
               tbl_policy,
               frequency = 10,
               payment_severity = 100,
               lags = 1)