Other packages > Find by keyword >

SPLICE  

Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Simulator
View on CRAN: Click here


Download and install SPLICE package within the R console
Install from CRAN:
install.packages("SPLICE")

Install from Github:
library("remotes")
install_github("cran/SPLICE")

Install by package version:
library("remotes")
install_version("SPLICE", "1.1.2")



Attach the package and use:
library("SPLICE")
Maintained by
Melantha Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-13
Latest Update: 2024-02-04
Description:
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" <doi:10.48550/arXiv.2109.04058>.
How to cite:
Melantha Wang (2021). SPLICE: Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Simulator. R package version 1.1.2, https://cran.r-project.org/web/packages/SPLICE. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2021-09-13 10:40), 1.1.0 (2022-03-05 16:20), 1.1.1 (2023-04-16 09:40)
Other packages that cited SPLICE R package
View SPLICE citation profile
Other R packages that SPLICE depends, imports, suggests or enhances
Complete documentation for SPLICE
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA