Man pages for StudyPrior
Distributions for Historical Information
| binom.Beta.EB | Empirical Bayes Beta Prior for Binomial Data |
| binom.Bias.FB | Full Bayes Bias Prior for Binomial Data |
| binom.MAP.EB | Empirical Bayes Meta-Analytic Prior for Binomial Data |
| binom.MAP.FB | Full Bayesian Meta-Analytic Prior for Binomial Data |
| binom.PP.EB | Empirical Bayes Power Prior for Binomial Data |
| binom.PP.EB.Beta | Power Prior for Binomial Data Using Empirical Bayes on Beta... |
| binom.PP.EB.Sep | Empirical Bayes Power Prior for Binomial Data Esimated... |
| binom.PP.FB | Full Bayes Power Prior for Binomial Data |
| binom.PP.FB.COR | Full Bayes Power Prior with Correlated Weight Parameters... |
| binom.PP.FB.MC | Full Bayes Power Prior |
| binom.PP.FB.MC.BE | Full Bayes Power Prior with Beta Prior on Weights |
| binom.PP.FB.MC.COR | Full Bayes Power Prior with Correlated Weight Parameters |
| binom.PP.FIX | Fixed Weight Power Prior for Binomial Data |
| binom.prior | Prior distribution for binomial data |
| bool.mat.plot | Plot a boolean matrix in two colours |
| calc.bias | Calculate bias |
| calc.coverage | Coverage of Posterior using local smoothing with beta kernels |
| calc.MSE | Calculate mean squared error |
| calc.MSE.mean | Calculate mean squared error based on the mean of the... |
| calc.MSE.mode | Calculate mean squared error based on the mode of the... |
| calc.posterior | Calculate a posterior density based on a binomial likelihood |
| calc.power | Calculate power |
| conj.approx | Approximate distribution with mixture model |
| create.mixture.prior | Create mixture model |
| ess.mixture.prior | Calculate the equivalent sample size of mixture model |
| eval.mixture.prior | Get density of mixture |
| is.mixture.prior | Test if object is a mixture.prior |
| mean.mixture.prior | Calculate the mean of mixture model |
| normal.PP.FB.INLA | Normal power prior with full Bayes by INLA |
| normal.PP.FB.MC | Normal power prior with full Bayes by Monte Carlo |
| plot.mixture.prior | Plot mixture model |
| p.mixture.prior | Probabilty function |
| posterior.mixture.prior | Calculate posterior mixture model |
| print.mixture.prior | Print mixture model |
| q.mixture.prior | Quantile function |
| sample.mixture.prior | Sample from the mixture distribution |
| sig.matrix | Calculate a matrix of significance test results for all... |
| update.mixture.prior | Update parameters or weights in mixture model |
| var.mixture.prior | Calculate the variance of mixture model |
| VP | Print messages if verbose=TRUE in calling function. |
