Computations Around Bayesian Predictive Power

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Documentation for package ‘bpp’ version 1.0.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bpp-package	Tools for Computation of Bayesian Predictive Power for a Normally Distributed Endpoint with Known Variance
basicPlot	Basic plot functions to illustrate prior and posterior densities when considering a time-to-event endpoint
bpp	Bayesian Predictive Power (BPP) for Normally Distributed Endpoint
bpp_1interim	Bayesian Predictive Power (BPP) for Normally Distributed Endpoint
bpp_1interim_binary	Bayesian Predictive Power (BPP) for Binary Endpoint
bpp_1interim_continuous	Bayesian Predictive Power (BPP) for Continuous Endpoint
bpp_1interim_t2e	Bayesian Predictive Power (BPP) for Time-to-Event Endpoint
bpp_2interim	Bayesian Predictive Power (BPP) for Normally Distributed Endpoint
bpp_binary	Bayesian Predictive Power (BPP) for Binary Endpoint
bpp_continuous	Bayesian Predictive Power (BPP) for Continuous Endpoint
bpp_t2e	Bayesian Predictive Power (BPP) for Time-To-Event Endpoint
ddcp	Tools for Computation of Bayesian Predictive Power for a Normally Distributed Endpoint with Known Variance
dUniformNormalTails	Density and CDF for Uniform Distribution with Normal tails
estimate_posterior	Posterior density conditional on known interim result
estimate_posterior_nominator	Posterior density conditional on interim result is proportional to the value of this function
estimate_toIntegrate	Product of posterior density and conditional power for known interim result
FlatNormalPosterior	Integrand to compute Bayesian Predictive Power when flat prior has been updated with likelihood
interval_posterior_nominator	Posterior density conditional on interim result, only known as interval, is proportional to the value of this function
interval_posterior_nominator2	Posterior density conditional on two interim results, both only known as intervals, is proportional to the value of this function
interval_toIntegrate	Product of posterior density and conditional power for blinded interim result
interval_toIntegrate2	Product of posterior density and conditional power for blinded interim result
NormalNormalPosterior	Normal-Normal Posterior in conjugate normal model, for known sigma
post_power	Conditional power conditioning on a blinded interim
pts	Tools for Computation of Bayesian Predictive Power for a Normally Distributed Endpoint with Known Variance
pUniformNormalTails	Density and CDF for Uniform Distribution with Normal tails