Predict the Reserve using Chain Ladder Plus Models
Source:R/predictclmplusmodel.R
predict.clmplusmodel.Rd
Predict the lower triangle with a clmplus
model.
Arguments
- object
clmplusmodel
, Model to predict from.- gk.fc.model
character
, model to forecast the cohort component for the last accident period. It can be either arima ('a') or linear model ('l'). Disregarded for models that do not have a cohort effect.- ckj.fc.model
character
, model to forecast the calendar period effect. It can be either arima ('a') or linear model ('l'). Disregarded for models that do not have a period effect.- gk.order
integer
, order of the arima model with drift for the accident year effect extrapolation. Default to (1,1,0).- ckj.order
integer
, order of the arima model with drift for the calendar year effect extrapolation. Default to (0,1,0).- forecasting_horizon
integer
, between 1 and the triangle width. Calendar periods ahead for the predictions. Default predictions are to run-off.- ...
Extra arguments to be passed to the predict function.
Value
Returns the following output:
- reserve
numeric
The reserve for each accident period.- ultimate_cost
numeric
The ultimate cost for each accident period.- full_triangle
matrix array
The complete run-off triangle of cumulative payments, it includes the (input) upper triangle and the predicted (output) lower triangle.- lower_triangle
matrix array
The predicted lower triangle of cumulative payments.- development_factors_predicted
matrix array
The predicted lower triangle of the extrapolated development factors.- apc_output
list
The following output from the age-period-cohort representation:model.fit
(fitStMoMo
) age-period-cohort model fit.alphaij
(matrix array
) predicted claim development.lower_triangle_apc
(matrix array
) predicted lower triangle of cumulative payments in age-period-cohort form.development_factors_apc
(matrix array
) development factors in age-period-cohort representation.