R Observatory: Metrics for BALD version 1.0.0-3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-11-05. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.0.0-3, its last release before removal.

BALD

1.0.0-3Package record

Robust Loss Development Using MCMC

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Can WangCRAN page ↗

Bayesian analysis of loss development on insurance triangles or 'BALD' is a Bayesian model of developing aggregate loss triangles in property casualty insurance. This actuarial model makes use of a heteroskedastic and skewed t-likelihood with endogenous degrees of freedom, employs model averaging by means of Reversible Jump MCMC, and accommodates a structural break in the path of the consumption of benefits. Further, the model is capable of incorporating expert information in the calendar year effect. In an accompanying vignette, this model is applied to two widely studied General Liability and Auto Bodily Injury Liability loss triangles. For a description of the methodology, see Frank A. Schmid (2010) doi:10.2139/ssrn.1501706.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/BALD/BALD_1.0.0-3.tar.gz"
pkgFile <- "BALD_1.0.0-3.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.0-3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0-3

READMEYes · 284 wordsVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 138 (2 internal)includes a package overview page
Examples that run: 100%42 run in a plain check
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 83%
Help pages citing references: 9%

How these are measured

Downloads

BALD Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (6)

R >= 3.3.0methodsrjags logsplineutilslattice

Imports (2)

statsgraphics

LinkingTo (0)

none

Suggests (1)

R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Can Wang

Contributor

Christopher W. Laws

Contributor

Frank A. Schmid

Contributor

Maintainer since 1.0.0-3 (2018)

Releases (1)

R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2021-11-05
check problems were not corrected in time
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0.0-3
record
2018-10-22
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-10-22
Total releases: 1 / 8 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.3.0
Bundled data: 2.7 KB / 6 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BALD")

Format

Wang, C., Laws, C. W., & Schmid, F. A. (n.d.). BALD: Robust Loss Development Using MCMC (Version 1.0.0-3) [Computer software]. Retrieved October 23, 2026, from https://CRAN.R-project.org/package=BALD

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BALD version 1.0.0-3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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