R: Generalized Convergence Diagnostics for Difficult MCMC Algorithms

# Generalized Convergence Diagnostics for Difficult MCMC Algorithms

## Documentation for package ‘genMCMCDiag’ version 0.2.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bnMCMCResults | Results from a Bayesian Network MCMC algorithm on simulated data
dpmmDistance | DPMM Distance
estimateTsTime | Uses generic formulas and rough time estimate to estimate time it will take to evaluate the TS algorithm on a set of unique draws with the tsTransform function.
eucDist | Euclidean Distance
fitNN | Helpful mini function to fit the nearest neighbor (NN) algorithm given a set and defined distance
genDiagnostic | Generate Generalized Diagnostics for Markov Chain Monte Carlo Draws
hammingDist | Hamming Distance
lanfearTransform | Transforms a list of MCMC chains into a list of data.frames using the Lanfear transformation
listLabels | Function to assign character labels to all unique objects in a list
partitionDist | Partition Distance
print.mcmcDiag | Print method for mcmcDiag objects
sess | Calculate the effective sample size, per chain and in total, of draws from an MCMC algorithm
spsrf | Calculate the Gelman-Rubin diagnostic of draws from an MCMC algorithm
standardTransform | Transforms a list of MCMC chains into a list of dataframes with no modifications to values
straceplot | Generate a traceplot of draws from a multi-chain MCMC
tsTransform | Transforms a list of MCMC chains into a list of data.frames using the TS transformation
uniMCMCResults | Results from a univariate MCMC algorithm on a simulated posterior