R: Bayesian Methods for Identifying the Most Harmful Medication Errors

# Bayesian Methods for Identifying the Most Harmful Medication Errors

## Documentation for package ‘mederrRank’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

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