claims_by_link_ratio: Claims by link ratio
In PirateGrunt/imaginator: Simulate General Insurance Policies and Losses

Description Usage Arguments Details Value Examples

View source: R/ClaimsByLinkRatio.R

Given a data frame of claims, this will simulate claim development by applying a (possibly) random link ratio.

1	claims_by_link_ratio(tbl_claims, links, lags)

`tbl_claims`	A claims data frame
`links`	A vector of the same length as 'lags' of factors, or their distributions, determining how severities change from one evaluation date to the next.
`lags`	A vector of lags

This function will apply the link ratio algorithm at an individual claim level.

A claims data frame

tbl_policy <- policy_year_new(10, 2001)
tbl_claims <- claims_by_first_report(
               tbl_policy,
               frequency = 10,
               payment_severity = 100,
               lags = 1)
tbl_claims <- claims_by_link_ratio(
               tbl_claims,
               links = c(1.25, 1.1, 1.05),
               lags = 1:4)