| 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 |