catalytic: Tools for Applying Catalytic Priors in Statistical Modeling

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	coda, invgamma, rlang, rstan, stats, truncnorm, MASS, lme4, quadform, survival, methods
Suggests:	knitr, rmarkdown, testthat, pROC
Published:	2024-12-18
DOI:	10.32614/CRAN.package.catalytic
Author:	Yitong Wu [aut], Dongming Huang [aut, cre], Weihao Li [aut], Ministry of Education, Singapore [fnd] (The development of this package is supported by the Ministry of Education, Singapore, under the Academic Research Fund Tier 1 A-8000466-00-00 (FY2022).)
Maintainer:	Dongming Huang <huang.dongming at nus.edu.sg>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	catalytic citation info
Materials:	README NEWS
CRAN checks:	catalytic results

Documentation:

Reference manual:	catalytic.pdf
Vignettes:	catalytic_cox (source, R code) catalytic_glm_binomial (source, R code) catalytic_glm_gaussian (source, R code)

Downloads:

Package source:	catalytic_0.1.0.tar.gz
Windows binaries:	r-devel: catalytic_0.1.0.zip, r-release: catalytic_0.1.0.zip, r-oldrel: catalytic_0.1.0.zip
macOS binaries:	r-release (arm64): catalytic_0.1.0.tgz, r-oldrel (arm64): catalytic_0.1.0.tgz, r-release (x86_64): catalytic_0.1.0.tgz, r-oldrel (x86_64): catalytic_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=catalytic to link to this page.