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) |