plot_regime_model {bayesdfa} | R Documentation |
find_regimes()
Plot the state probabilities from find_regimes()
plot_regime_model( model, probs = c(0.05, 0.95), type = c("probability", "means"), regime_prob_threshold = 0.9, plot_prob_indices = NULL, flip_regimes = FALSE )
model |
A model returned by |
probs |
A numeric vector of quantiles to plot the credible intervals at.
Defaults to |
type |
Whether to plot the probabilities (default) or means. |
regime_prob_threshold |
The probability density that must be above 0.5.
Defaults to 0.9 before we classify a regime (only affects |
plot_prob_indices |
Optional indices of probability plots to plot. Defaults to showing all. |
flip_regimes |
Optional whether to flip regimes in plots, defaults to FALSE |
Note that the original timeseries data (dots) are shown scaled between 0 and 1.
data(Nile) m <- fit_regimes(log(Nile), n_regimes = 2, chains = 1, iter = 50) plot_regime_model(m) plot_regime_model(m, plot_prob_indices = c(2)) plot_regime_model(m, type = "means")