bayesdfa-package        The 'bayesdfa' package.
find_dfa_trends         Find the best number of trends according to
                        LOOIC
find_inverted_chains    Find which chains to invert
find_regimes            Fit multiple models with differing numbers of
                        regimes to trend data
find_swans              Find outlying "black swan" jumps in trends
fit_dfa                 Fit a Bayesian DFA
fit_regimes             Fit models with differing numbers of regimes to
                        trend data
hmm_init                Create initial values for the HMM model.
invert_chains           Invert chains
is_converged            Summarize Rhat convergence statistics across
                        parameters
loo.bayesdfa            LOO information criteria
plot_fitted             Plot the trends from a DFA
plot_loadings           Plot the loadings from a DFA
plot_regime_model       Plot the state probabilities from
                        'find_regimes()'
plot_trends             Plot the trends from a DFA
predicted               Calculate predicted value from DFA object
rotate_trends           Rotate the trends from a DFA
sim_dfa                 Simulate from a DFA
trend_cor               Estimate the correlation between a DFA trend
                        and some other timeseries
