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claim_covariates sub-moduleExtends the package by including support for covariates and their impact on claim sizes.
Includes one new vignette, demonstrating the sub-module and its use-cases.
Includes five new data objects. The three existing datasets test_claims_object, test_claim_dataset and test_transaction_dataset now also have a version where outputs are impacted by the effect of covariates. A test_covariates_obj and test_covariates_dataset have been included which provide information regarding the specific factors and levels of covariates used in relation to each claim.
Suggests) on the poisson packageSuggests) on the ChainLadder packageplot_transaction_dataset() function for plotting claim development from a payment-level dataset, in addition to the plot.claims method that works only with a claims object.Updates citation
Fixes a bug in the default sampling function of claim_payment_no()
Fixes the treatment of params_split to allow for trivial params
claim_output() to allow an option to adjust the treatment of out-of-bound transactions in tabulation. The previous version (1.0.0) automatically forced all out-of-bound transactions to be paid at the exact end of the maximum development period allowed. This is now set as the default behaviour, but the user can also set adjust = FALSE to see the proportion of payments projected to fall beyond the maximum development period (the “tail”).claim_output() to force adjust for higher aggregate_level. The issue with previous function was that it ignored payments beyond the max development period after aggregation. This is now fixed - either merged to the end DQ, or in a separate tail cell (if adjust = FALSE).claim_frequency() and claim_size() now allow users to input a random generation function (by specifying a simfun and setting type = "r"), in addition to cdf inputs (type = "p") allowed by the predecessor version.
r-function and if it finds one, apply the r-function directly instead of inverse sampling from the cdf.claim_notification() and claim_closure().
SynthETIC 0.1.0 assumes Weibull and only allows changes to mean and cv.rfun and paramfun.Sets the benchmarks in claim_payment_no() function optional (and will only be read if the default simulation function is used).
claim_payment_no() is now also implemented through rfun and paramfun, instead of the original simulate_no_pmt_function (which works in the same way as rfun but without the functionality to change parameters).
claim_payment_size() is also implemented through rfun and paramfun, replacing the original simulate_amt_pmt_function.
New to_SynthETIC() function helps the conversion from externally simulated objects to SynthETIC format for easy integration with other simulation functions/modules.
Fixed a few typos in function documentation.
claim_output() function is updated to correctly calculate triangles on a higher aggregate level (from square to parallelogram-shaped).
The package vignette has been updated to reflect all the changes listed above and show more examples where the quantities are simulated from distributions other than the default.
The GitHub repo address is added to the DESCRIPTION file.
test_data.R file under data-raw has been updated to reflect the changes listed under the heading “new features”.DESCRIPTION file has been updated to include the new reference made in the vignette (e.g. actuar).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.