fit_regimes | R Documentation |
Fit models with differing numbers of regimes to trend data
fit_regimes(
y,
sds = NULL,
n_regimes = 2,
iter = 2000,
thin = 1,
chains = 1,
...
)
y |
Data, time series or trend from fitted DFA model. |
sds |
Optional time series of standard deviations of estimates.
If passed in, residual variance not estimated. Defaults to |
n_regimes |
Number of regimes to evaluate, defaults 2 |
iter |
MCMC iterations, defaults to 2000. |
thin |
MCMC thinning rate, defaults to 1. |
chains |
MCMC chains, defaults to 1 (note that running multiple chains may result in a label switching problem where the regimes are identified with different IDs across chains). |
... |
Other parameters to pass to |
data(Nile)
fit_regimes(log(Nile), iter = 50, n_regimes = 1)
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