calcBetabinProbabilitiesInPlace: More efficient implementation for calculating beta binomial...
In dungtsa/BayesianPredictiveFutility: Interim Analysis for Futility Using Bayesian Predictive Probability
View source: R/BayesianPredictiveFutility.R
calcBetabinProbabilitiesInPlace R Documentation
More efficient implementation for calculating beta binomial distributions, overcoming performance drawback with r-style pushing to arrays
Description
More efficient implementation for calculating beta binomial distributions, overcoming performance drawback with r-style pushing to arrays
Usage
calcBetabinProbabilitiesInPlace(n1, n2, beta.a, beta.b)
Arguments
n1
n1
n2
n2
beta.a
beta.a
beta.b
beta.b value
dungtsa/BayesianPredictiveFutility documentation built on April 10, 2022, 7:48 p.m.
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View source: R/BayesianPredictiveFutility.R
| calcBetabinProbabilitiesInPlace | R Documentation |
More efficient implementation for calculating beta binomial distributions, overcoming performance drawback with r-style pushing to arrays
Description
More efficient implementation for calculating beta binomial distributions, overcoming performance drawback with r-style pushing to arrays
Usage
calcBetabinProbabilitiesInPlace(n1, n2, beta.a, beta.b)
Arguments
n1 |
n1 |
n2 |
n2 |
beta.a |
beta.a |
beta.b |
beta.b value |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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