Man pages for ggmcmc
Tools for Analyzing MCMC Simulations from Bayesian Inference

acCalculate the autocorrelation of a single chain, for a...
calc_binCalculate binwidths by parameter, based on the total number...
ciCalculate Credible Intervals (wide and narrow).
custom.sortAuxiliary function that sorts Parameter names taking into...
get_familySubset a ggs object to get only the parameters with a given...
ggmcmcWrapper function that creates a single pdf file with all...
ggsImport MCMC samples into a ggs object than can be used by all...
ggs_autocorrelationPlot an autocorrelation matrix
ggs_caterpillarCaterpillar plot with thick and thin CI
ggs_chainAuxiliary function that extracts information from a single...
ggs_compare_partialDensity plots comparing the distribution of the whole chain...
ggs_crosscorrelationPlot the Cross-correlation between-chains
ggs_densityDensity plots of the chains
ggs_gewekeDotplot of the Geweke diagnostic, the standard Z-score
ggs_histogramHistograms of the paramters.
ggs_pairsCreate a plot matrix of posterior simulations
ggs_ppmeanPosterior predictive plot comparing the outcome mean vs the...
ggs_ppsdPosterior predictive plot comparing the outcome standard...
ggs_RhatDotplot of Potential Scale Reduction Factor (Rhat)
ggs_rocplotReceiver-Operator Characteristic (ROC) plot for models with...
ggs_runningRunning means of the chains
ggs_separationSeparation plot for models with binary response variables
ggs_traceplotTraceplot of the chains
gl_unqGenerate a factor with unequal number of repetitions.
radonSimulations of the parameters of a hierarchical model using...
roc_calcCalculate the ROC curve for a set of observed outcomes and...
sSimulations of the parameters of a simple linear regression...
s.binarySimulations of the parameters of a simple linear regression...
sde0fSpectral Density Estimate at Zero Frequency.
s.y.repSimulations of the posterior predictive distribution of a...
yValues for the observed outcome of a simple linear regression...
y.binaryValues for the observed outcome of a binary logistic...
ggmcmc documentation built on May 30, 2017, 2:38 a.m.