Claims Reserving under the Double Chain Ladder Model


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Documentation for package ‘DCL’ version 0.1.2

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DCL-package Claims Reserving under the Double Chain Ladder Model
Aggregate Switch to a higher level of aggregation
bdcl.estimation Parameter estimation - DCL model using the BDCL method
clm Classical Chain Ladder Method
DCL Claims Reserving under the Double Chain Ladder Model
dcl.boot Bootstrap distribution: the full cashflow
dcl.boot.prior Bootstrap distribution (the full cashflow) adding prior knowledge
dcl.estimation Parameter estimation - Double Chain Ladder model
dcl.predict Pointwise predictions (RBNS/IBNR split)
dcl.predict.prior Pointwise predictions (RBNS/IBNR split) adding prior knowledge
extract.prior Extracting information about zero-claims and severity inflation
get.cumulative Cumulative triangle
get.incremental Incremental triangle
idcl.estimation Parameter estimation - DCL model reproducing the incurred reserve.
ItriangleBDCL Incurred data (BDCL example)
NpaidPrior Number of non-zero payments (adding prior knowledge example)
NtriangleBDCL Number of reported claims (BDCL example)
NtriangleDCL Number of reported claims (DCL example)
NtrianglePrior Number of reported claims (adding prior knowledge example)
Plot.cashflow Plotting the full cashflow (bootstrap distribution)
Plot.clm.par Plotting the estimated chain ladder parameters
Plot.dcl.par Plotting the estimated parameters in the DCL model
Plot.triangle Plotting an incremental run-off triangle
validating.incurred Back-test: testing against the experience
XtriangleBDCL Paid data (BDCL example)
XtriangleDCL Paid data (DCL example)
XtrianglePrior Paid data (adding prior knowledge example)