Package index • baytaAAR

Running bay.ta

bay.ta(): Bayesian Transition Analysis with JAGS or NIMBLE

Postprocessing

diagnostic.summary(): Diagnostic summary of MCMC samples
diagnostics.max.min(): Maximum and minimum diagnostic values
age.estim.summary(): Summary of age estimates
threshold.chains(): Compute thresholds for chains
threshold.matrix(): Extract thresholds
corr.mat.mean(): Extract correlation matrix from Cholesky factor
prob.cat(): Summed or mean probability densities per category

Known age-at-death

age.comp.summary(): Quality measures of age estimation
age.comp.plot(): Plots of quality measures of age estimation
sequential.binom.test(): Sequential cumulative binomial test

Data sets

sorsum_as: Sorsum: Example dataset
spitalfields: Spitalfields: Example dataset