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: not available, 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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