FlatNormalPosterior     Integrand to compute Bayesian Predictive Power
                        when flat prior has been updated with
                        likelihood
NormalNormalPosterior   Normal-Normal Posterior in conjugate normal
                        model, for known sigma
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-package             Tools for Computation of Bayesian Predictive
                        Power for a Normally Distributed Endpoint with
                        Known Variance
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
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
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
post_power              Conditional power conditioning on a blinded
                        interim
