Bayesian Methods for Identifying the Most Harmful Medication Errors

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Documentation for package ‘mederrRank’ version 0.1.0

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mederrRank-package Bayesian Methods for Identifying the Most Harmful Medication Errors
bayes.rank Optimal Bayesian Ranking
bhm.constr.resamp Markov Chain Monte Carlo Estimation (Step 2) of the Bayesian Hierarchical Model for Identifying the Most Harmful Medication Errors
bhm.mcmc Markov Chain Monte Carlo Estimation (Step 1) of the Bayesian Hierarchical Model for Identifying the Most Harmful Medication Errors
bhm.resample Resampling Transformation for the Markov Chain Monte Carlo Estimation Simulation of the Bayesian Hierarchical Model for Identifying the Most Harmful Medication Errors
dmixnegbinom The Negative Binomial Mixture Distribution
dnegbinom The Negative Binomial Distribution
dst The Skewed Student t Distribution
EBGM Geometric Mean of the Relative Risk Empirical Bayes Posterior Distribution
initialize-method Class "mederrData". Data Specification for Identifying the Most Harmful MEdication Errors using a Bayesian Hierarchical Model.
initialize-method Class "mederrFit". Simulated Monte Carlo Chains (Step 1) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
initialize-method Class "mederrResample". Simulated Monte Carlo Chains (Step 2) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
llDiffD Log-Likelihood Difference for the delta_j Parameters
llDiffT Log-Likelihood Difference for the theta_i Parameters
logp Negative Log-Posterior Function of the Bayesian Hierarchical Model for Identifying the Most Harmful Medication Errors
logunpost Unnormalized Marginal Posterior Distributions for k and eta
mederrData Class "mederrData". Data Specification for Identifying the Most Harmful MEdication Errors using a Bayesian Hierarchical Model.
mederrData-class Class "mederrData". Data Specification for Identifying the Most Harmful MEdication Errors using a Bayesian Hierarchical Model.
mederrFit Class "mederrFit". Simulated Monte Carlo Chains (Step 1) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
mederrFit-class Class "mederrFit". Simulated Monte Carlo Chains (Step 1) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
mederrRank Bayesian Methods for Identifying the Most Harmful Medication Errors
mederrResample Class "mederrResample". Simulated Monte Carlo Chains (Step 2) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
mederrResample-class Class "mederrResample". Simulated Monte Carlo Chains (Step 2) for the Bayesian Hierarchical Model Used to Identify the Most Harmful Medication Errors.
MEDMARX Subset of the MEDMARX Data
mixnegbinom.em Expectation-Maximization Algorithm for the Mixture of Negative Binomial Distributions
mixnegbinom.loglik Log-Likelihood Function for the Mixture of Negative Binomial Distributions
mixnegbinom.score Log-Likelihood Score Function for the Mixture of Negative Binomial Distributions
negbinom.em Expectation-Maximization Algorithm for the Negative Binomial Distribution
negbinom.loglik Log-Likelihood Function for the Mixture of Negative Binomial Distributions
negbinom.score Log-Likelihood Score Function for the Negative Binomial Distribution
p.value Posterior Predictive Test statistics
plot-method Plot of Medication Error Data and Analysis
plot-methods Plot of Medication Error Data and Analysis
post.rep Posterior Predictive Data Replications
rmixnegbinom The Negative Binomial Mixture Distribution
simdata Simulated Data
summary-method Summary of Medication Error Data and Analysis
summary-methods Summary of Medication Error Data and Analysis