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 + fileLICENSE |
| NeedsCompilation: | no |
| Citation: | catalytic citation info |
| Materials: | README,NEWS |
| CRAN checks: | catalytic results |
Documentation:
| Reference manual: | catalytic.html ,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 |
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