Package: SPLICE 1.1.2

Melantha Wang

SPLICE: Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Simulator

An extension to the individual claim simulator called 'SynthETIC' (on CRAN), to simulate the evolution of case estimates of incurred losses through the lifetime of an insurance claim. The transactional simulation output now comprises key dates, and both claim payments and revisions of estimated incurred losses. An initial set of test parameters, designed to mirror the experience of a real insurance portfolio, were set up and applied by default to generate a realistic test data set of incurred histories (see vignette). However, the distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M (2021) "SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator" <arxiv:2109.04058>.

Authors:Benjamin Avanzi [aut], Greg Taylor [aut], Melantha Wang [aut, cre], William Ho [aut]

SPLICE_1.1.2.tar.gz
SPLICE_1.1.2.zip(r-4.5)SPLICE_1.1.2.zip(r-4.4)SPLICE_1.1.2.zip(r-4.3)
SPLICE_1.1.2.tgz(r-4.4-any)SPLICE_1.1.2.tgz(r-4.3-any)
SPLICE_1.1.2.tar.gz(r-4.5-noble)SPLICE_1.1.2.tar.gz(r-4.4-noble)
SPLICE_1.1.2.tgz(r-4.4-emscripten)SPLICE_1.1.2.tgz(r-4.3-emscripten)
SPLICE.pdf |SPLICE.html
SPLICE/json (API)
NEWS

# Install 'SPLICE' in R:
install.packages('SPLICE', repos = c('https://agi-lab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/agi-lab/splice/issues

Datasets:

On CRAN:

5.61 score 6 stars 15 scripts 248 downloads 9 mentions 14 exports 33 dependencies

Last updated 9 months agofrom:4544da40b4. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winNOTEOct 12 2024
R-4.5-linuxNOTEOct 12 2024
R-4.4-winNOTEOct 12 2024
R-4.4-macNOTEOct 12 2024
R-4.3-winNOTEOct 12 2024
R-4.3-macNOTEOct 12 2024

Exports:claim_historyclaim_majRev_freqclaim_majRev_sizeclaim_majRev_timeclaim_minRev_freqclaim_minRev_sizeclaim_minRev_timedtrigenerate_datagenerate_incurred_datasetoutput_incurredptriqtrirtri

Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesSynthETICtibbletidyselectutf8vctrsviridisLitewithrzoo

SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator

Rendered fromSPLICE-demo.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2023-04-16
Started: 2021-07-11

Readme and manuals

Help Manual

Help pageTopics
Development of Case Estimatesclaim_history
Major Revisions of Incurred Lossclaim_majRev claim_majRev_freq claim_majRev_size claim_majRev_time
Minor Revisions of Outstanding Claim Paymentsclaim_minRev claim_minRev_freq claim_minRev_size claim_minRev_time
Generate Data of Varying Complexitygenerate_data
Generate Incurred Datasetgenerate_incurred_dataset
Incurred Trianglesoutput_incurred
Incurred Case Estimates Datasettest_incurred_dataset test_incurred_dataset_inflated test_incurred_dataset_noInf
The Triangular Distributiondtri ptri qtri rtri triangular