Normalized Power Prior Bayesian Analysis

[Up] [Top]

Documentation for package ‘NPP’ version 0.4.0

Help Pages

BerNPP_MCMC MCMC Sampling for Bernoulli Population using Normalized Power Prior
LaplacelogC A Function to Calculate logC(delta) Based on Laplace Approximation
LMNPP_MCMC MCMC Sampling for Normal Linear Model using Normalized Power Prior
logCdelta A Function to Interpolate logC(delta) Based on Its Values on Selected Knots
logCknot A Function to Calculate logC(delta) on Selected Knots
loglikBerD0 A Function to Calculate Log-likelihood of the Historical Data, Given Matrix-valued Parameters, for Bernoulli Population
loglikNormD0 A Function to Calculate Log-likelihood of the Historical Data, Given Array-valued Parameters, for Normal Population
ModeDeltaBerNPP Calculate Posterior Mode of the Power Parameter in Normalized Power Prior with Grid Search, Bernoulli Population
ModeDeltaLMNPP Calculate Posterior Mode of the Power Parameter in Normalized Power Prior with Grid Search, Normal Linear Model
ModeDeltaMultinomialNPP Calculate Posterior Mode of the Power Parameter in Normalized Power Prior with Grid Search, Multinomial Population
ModeDeltaNormalNPP Calculate Posterior Mode of the Power Parameter in Normalized Power Prior with Grid Search, Normal Population
ModeDeltaPoisNPP Calculate Posterior Mode of the Power Parameter in Normalized Power Prior with Grid Search, Poisson Population
MultinomialNPP_MCMC MCMC Sampling for Multinomial Population using Normalized Power Prior
NormalNPP_MCMC MCMC Sampling for Normal Population using Normalized Power Prior
PHData PH Data on four sites in Virginia
PoissonNPP_MCMC MCMC Sampling for Bernoulli Population using Normalized Power Prior
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