Package: NPP 0.6.0
NPP: Normalized Power Prior Bayesian Analysis
Posterior sampling in several commonly used distributions using normalized power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752> and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>. Sampling of the power parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based on transformation.
Authors:
NPP_0.6.0.tar.gz
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NPP.pdf |NPP.html✨
NPP/json (API)
# Install 'NPP' in R: |
install.packages('NPP', repos = c('https://hanzifei.r-universe.dev', 'https://cloud.r-project.org')) |
- PHData - PH Data on four sites in Virginia
- SPDData - Dataset for Diagnostic Test (PartoSure Test, Medical Device) Evaluation for Spontaneous Preterm Delivery
- VaccineData - Dataset of a Vaccine Trial for RotaTeq and Multiple Historical Trials for Control Group
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:25a5a002b7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win | OK | Nov 07 2024 |
R-4.5-linux | OK | Nov 07 2024 |
R-4.4-win | OK | Nov 07 2024 |
R-4.4-mac | OK | Nov 07 2024 |
R-4.3-win | OK | Nov 07 2024 |
R-4.3-mac | OK | Nov 07 2024 |
Exports:BerMNPP_MCMC1BerMNPP_MCMC2BerNPP_MCMCBerOMNPP_MCMC1BerOMNPP_MCMC2LaplacelogCLMMNPP_MCMC1LMMNPP_MCMC2LMNPP_MCMCLMOMNPP_MCMC1LMOMNPP_MCMC2logCdeltalogCknotloglikBerD0loglikNormD0ModeDeltaBerNPPModeDeltaLMNPPModeDeltaMultinomialNPPModeDeltaNormalNPPModeDeltaPoisNPPMultinomialNPP_MCMCNormalNPP_MCMCPoiMNPP_MCMC1PoiMNPP_MCMC2PoiOMNPP_MCMC1PoiOMNPP_MCMC2PoissonNPP_MCMC
Dependencies: