Package index

Decision Probability Functions

Go/NoGo/Gray decision probability calculation

pbayesdecisionprob1bin()

Go/NoGo/Gray Decision Probabilities for a Clinical Trial with a Single Binary Endpoint

pbayesdecisionprob1cont()

Bayesian Go/NoGo/Gray Decision Probabilities for Single Continuous Endpoint

pbayesdecisionprob2bin()

Go/NoGo/Gray Decision Probabilities for a Clinical Trial with Two Binary Endpoints

pbayesdecisionprob2cont()

Go/NoGo/Gray Decision Probabilities for Two Continuous Endpoints

Print Methods

S3 print methods for decision probability objects

print(<pbayesdecisionprob1bin>)

Print Method for pbayesdecisionprob1bin Objects

print(<pbayesdecisionprob1cont>)

Print Method for pbayesdecisionprob1cont Objects

print(<pbayesdecisionprob2bin>)

Print Method for pbayesdecisionprob2bin Objects

print(<pbayesdecisionprob2cont>)

Print Method for pbayesdecisionprob2cont Objects

Plot Methods

S3 plot methods for decision probability and threshold search objects

plot(<pbayesdecisionprob1bin>)

Plot Method for pbayesdecisionprob1bin Objects

plot(<pbayesdecisionprob1cont>)

Plot Method for pbayesdecisionprob1cont Objects

plot(<pbayesdecisionprob2bin>)

Plot Method for pbayesdecisionprob2bin Objects

plot(<pbayesdecisionprob2cont>)

Plot Method for pbayesdecisionprob2cont Objects

plot(<getgamma1bin>)

Plot Method for getgamma1bin Objects

plot(<getgamma1cont>)

Plot Method for getgamma1cont Objects

plot(<getgamma2bin>)

Plot Method for getgamma2bin Objects

plot(<getgamma2cont>)

Plot Method for getgamma2cont Objects

Posterior and Predictive Probability Functions

Posterior and posterior predictive probability calculation

pbayespostpred1bin()

Bayesian Posterior or Posterior Predictive Probability for a Single Binary Endpoint

pbayespostpred1cont()

Bayesian Posterior or Posterior Predictive Probability for a Single Continuous Endpoint

pbayespostpred2bin()

Bayesian Posterior or Posterior Predictive Probability for Two Binary Endpoints

pbayespostpred2cont()

Region Probabilities for Two Continuous Endpoints

Optimal Threshold Search Functions

Grid-search functions for optimal Go/NoGo thresholds

getgamma1bin()

Find Optimal Go/NoGo Thresholds for a Single Binary Endpoint

getgamma1cont()

Find Optimal Go/NoGo Thresholds for a Single Continuous Endpoint

getgamma2bin()

Find Optimal Go/NoGo Thresholds for Two Binary Endpoints

getgamma2cont()

Find Optimal Go/NoGo Thresholds for Two Continuous Endpoints

Distribution Functions for Continuous Endpoints

CDF for the difference of two t-distributions

ptdiff_NI()

Cumulative Distribution Function of the Difference of Two Independent t-Distributed Variables via Numerical Integration

ptdiff_MC()

Cumulative Distribution Function of the Difference of Two Independent t-Distributed Variables via Monte Carlo Simulation

ptdiff_MM()

Cumulative Distribution Function of the Difference of Two Independent t-Distributed Variables via Moment-Matching Approximation

Distribution Functions for Binary Endpoints

CDF and related functions for Beta and Beta-binomial distributions

pbetadiff()

Cumulative Distribution Function of the Difference Between Two Independent Beta Variables

pbetabinomdiff()

Cumulative Distribution Function of the Difference Between Two Independent Beta-Binomial Proportions

Sampling Functions

Random samplers for multivariate distributions

rdirichlet()

Generate Random Samples from a Dirichlet Distribution

Utility Functions

Supporting functions for joint probability and multinomial enumeration

getjointbin()

Compute Joint Bivariate Binary Probabilities from Marginal Rates and Correlation

allmultinom()

Enumerate All Multinomial Count Vectors for a Bivariate Binary Outcome