A B C D E F G I L M O P Q R S T W misc
| RBesT-package | R Bayesian Evidence Synthesis Tools | 
| AS | Ankylosing Spondylitis. | 
| as.matrix.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| as.matrix.gMAPpred | Predictions from gMAP analyses | 
| automixfit | Automatic Fitting of Mixtures of Conjugate Distributions to a Sample | 
| BinaryExactCI | Exact Confidence interval for Binary Proportion | 
| coef.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| colitis | Ulcerative Colitis. | 
| crohn | Crohn's disease. | 
| decision1S | Decision Function for 1 Sample Designs | 
| decision1S_boundary | Decision Boundary for 1 Sample Designs | 
| decision1S_boundary.betaMix | Decision Boundary for 1 Sample Designs | 
| decision1S_boundary.gammaMix | Decision Boundary for 1 Sample Designs | 
| decision1S_boundary.normMix | Decision Boundary for 1 Sample Designs | 
| decision2S | Decision Function for 2 Sample Designs | 
| decision2S_boundary | Decision Boundary for 2 Sample Designs | 
| decision2S_boundary.betaMix | Decision Boundary for 2 Sample Designs | 
| decision2S_boundary.gammaMix | Decision Boundary for 2 Sample Designs | 
| decision2S_boundary.normMix | Decision Boundary for 2 Sample Designs | 
| dmix | Mixture Distributions | 
| dmixdiff | Difference of mixture distributions | 
| ess | Effective Sample Size for a Conjugate Prior | 
| ess.betaMix | Effective Sample Size for a Conjugate Prior | 
| ess.gammaMix | Effective Sample Size for a Conjugate Prior | 
| ess.normMix | Effective Sample Size for a Conjugate Prior | 
| fitted.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| forest_plot | Forest Plot | 
| gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| inv_logit | Logit (log-odds) and inverse-logit function. | 
| likelihood | Read and Set Likelihood to the Corresponding Conjugate Prior | 
| likelihood<- | Read and Set Likelihood to the Corresponding Conjugate Prior | 
| lodds | Logit (log-odds) and inverse-logit function. | 
| logit | Logit (log-odds) and inverse-logit function. | 
| mix | Mixture Distributions | 
| mixbeta | Beta Mixture Density | 
| mixcombine | Combine Mixture Distributions | 
| mixdiff | Difference of mixture distributions | 
| mixfit | Fit of Mixture Densities to Samples | 
| mixfit.array | Fit of Mixture Densities to Samples | 
| mixfit.default | Fit of Mixture Densities to Samples | 
| mixfit.gMAP | Fit of Mixture Densities to Samples | 
| mixfit.gMAPpred | Fit of Mixture Densities to Samples | 
| mixgamma | The Gamma Mixture Distribution | 
| mixjson | Write and Read a Mixture Object with JSON | 
| mixmvnorm | Multivariate Normal Mixture Density | 
| mixnorm | Normal Mixture Density | 
| mixplot | Plot mixture distributions | 
| mixstanvar | Mixture distributions as 'brms' priors | 
| mn2beta | Beta Mixture Density | 
| mn2gamma | The Gamma Mixture Distribution | 
| mn2norm | Normal Mixture Density | 
| ms2beta | Beta Mixture Density | 
| ms2gamma | The Gamma Mixture Distribution | 
| msr2mvnorm | Multivariate Normal Mixture Density | 
| oc1S | Operating Characteristics for 1 Sample Design | 
| oc1S.betaMix | Operating Characteristics for 1 Sample Design | 
| oc1S.gammaMix | Operating Characteristics for 1 Sample Design | 
| oc1S.normMix | Operating Characteristics for 1 Sample Design | 
| oc1Sdecision | Decision Function for 1 Sample Designs | 
| oc2S | Operating Characteristics for 2 Sample Design | 
| oc2S.betaMix | Operating Characteristics for 2 Sample Design | 
| oc2S.gammaMix | Operating Characteristics for 2 Sample Design | 
| oc2S.normMix | Operating Characteristics for 2 Sample Design | 
| oc2Sdecision | Decision Function for 2 Sample Designs | 
| plot.EM | Diagnostic plots for EM fits | 
| plot.gMAP | Diagnostic plots for gMAP analyses | 
| plot.mix | Plot mixture distributions | 
| plot.mvnormMix | Plot mixture distributions | 
| pmix | Mixture Distributions | 
| pmixdiff | Difference of mixture distributions | 
| pos1S | Probability of Success for a 1 Sample Design | 
| pos1S.betaMix | Probability of Success for a 1 Sample Design | 
| pos1S.gammaMix | Probability of Success for a 1 Sample Design | 
| pos1S.normMix | Probability of Success for a 1 Sample Design | 
| pos2S | Probability of Success for 2 Sample Design | 
| pos2S.betaMix | Probability of Success for 2 Sample Design | 
| pos2S.gammaMix | Probability of Success for 2 Sample Design | 
| pos2S.normMix | Probability of Success for 2 Sample Design | 
| postmix | Conjugate Posterior Analysis | 
| postmix.betaMix | Conjugate Posterior Analysis | 
| postmix.gammaMix | Conjugate Posterior Analysis | 
| postmix.normMix | Conjugate Posterior Analysis | 
| preddist | Predictive Distributions for Mixture Distributions | 
| preddist.betaMix | Predictive Distributions for Mixture Distributions | 
| preddist.gammaMix | Predictive Distributions for Mixture Distributions | 
| preddist.mvnormMix | Predictive Distributions for Mixture Distributions | 
| preddist.normMix | Predictive Distributions for Mixture Distributions | 
| predict.gMAP | Predictions from gMAP analyses | 
| print.betaBinomialMix | Beta Mixture Density | 
| print.betaMix | Beta Mixture Density | 
| print.gammaExpMix | The Gamma Mixture Distribution | 
| print.gammaMix | The Gamma Mixture Distribution | 
| print.gammaPoissonMix | The Gamma Mixture Distribution | 
| print.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| print.gMAPpred | Predictions from gMAP analyses | 
| print.mvnormMix | Multivariate Normal Mixture Density | 
| print.normMix | Normal Mixture Density | 
| qmix | Mixture Distributions | 
| qmixdiff | Difference of mixture distributions | 
| RBesT | R Bayesian Evidence Synthesis Tools | 
| read_mix_json | Write and Read a Mixture Object with JSON | 
| rmix | Mixture Distributions | 
| rmixdiff | Difference of mixture distributions | 
| robustify | Robustify Mixture Priors | 
| robustify.betaMix | Robustify Mixture Priors | 
| robustify.gammaMix | Robustify Mixture Priors | 
| robustify.normMix | Robustify Mixture Priors | 
| sigma | Normal Mixture Density | 
| sigma.mvnormMix | Multivariate Normal Mixture Density | 
| sigma.normMix | Normal Mixture Density | 
| sigma<- | Normal Mixture Density | 
| summary.betaBinomialMix | Beta Mixture Density | 
| summary.betaMix | Beta Mixture Density | 
| summary.gammaMix | The Gamma Mixture Distribution | 
| summary.gammaPoissonMix | The Gamma Mixture Distribution | 
| summary.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models | 
| summary.gMAPpred | Predictions from gMAP analyses | 
| summary.mvnormMix | Multivariate Normal Mixture Density | 
| summary.normMix | Normal Mixture Density | 
| transplant | Transplant. | 
| write_mix_json | Write and Read a Mixture Object with JSON | 
| [[.mix | Mixture Distributions |