ChainLadder 0.2.1 released
[This article was first published on mages' blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Over the weekend we released version 0.2.1 of the ChainLadder package for claims reserving on CRAN. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
New Features
- New function
PaidIncurredChain
by Fabio Concina, based on the 2010 Merz & Wüthrich paper Paid-incurred chain claims reserving method - Functions
plot.MackChainLadder
andplot.BootChainLadder
gained new argumentwhich
, allowing users to specify which sub-plot to display. Thanks to Christophe Dutang for this suggestion.
Output of plot(MackChainLadder(MW2014, est.sigma="Mack"), which=3:6) |
Changes
- Updated
NAMESPACE
file to comply with new R CMD checks in R-3.3.0 - Removed package dependencies on
grDevices
andHmisc
- Expanded package vignette with new paragraph on importing spreadsheet data, a new section “Paid-Incurred Chain Model” and an added example for a full claims development picture in the “One Year Claims Development Result” section, see also [1] .
Binary versions of the package will appear on the various CRAN mirrors over the next couple of days. Alternatively you can install ChainLadder directly from GitHub using the following R commands:
install.packages(c(“systemfit”, “actuar", "statmod", "tweedie", "devtools")) library(devtools) install_github("mages/ChainLadder") library(ChainLadder)
Completely new to ChainLadder? Start with the package vignette.
References
[1] Claims run-off uncertainty: the full picture. (with M. Merz) SSRN Manuscript, ID 2524352, 2014.To leave a comment for the author, please follow the link and comment on their blog: mages' blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.