Bayesian Sample Size Determination In R. 0 EXP CONT T t T versus. A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate the difference between two binomial proportions.
Or smallest clinically significant difference. A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate the difference between two binomial proportions. Here with part I well set the foundation.
The method we suggest is based on the use of mixtures of prior distributions for the unknown quantity of interest typically an unknown effect or an unknown effects-difference.
Suppose we have three different treatments A B and C and we are modeling response01. Jul 06 2020 Both the Bayesian t test and the Bayesian Welchs test are available in this R package. Bayesian sample size determination SupposethatweareinterestedinchoosingthesizenofarandomsampleXn X1X2Xn whose joint density function fnθ we use here the notation for continuous random vari-ables without loss of generality depends on an unknown parameter vector θ that we want to estimate. Jul 18 2019 Version 101 tldr If youd like to learn how to do Bayesian power calculations using brms stick around for this multi-part blog series.
