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