| 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 |