Plots time series, qq-plots (against the standard normal distribution) using
qqPlot, and sample
ACF functions of the pseudo-residuals for each data stream
maximum lag at which to calculate the acf. See
number of cores to use for parallel processing
If some turning angles in the data are equal to pi, the corresponding pseudo-residuals will not be included. Indeed, given that the turning angles are defined on (-pi,pi], an angle of pi results in a pseudo-residual of +Inf (check Section 6.2 of reference for more information on the computation of pseudo-residuals).
If some data streams are zero-inflated and/or one-inflated, the corresponding pseudo- residuals are shown as segments, because pseudo-residuals for discrete data are defined as segments (see Zucchini and MacDonald, 2009, Section 6.2).
For multiple imputation analyses, if
m is a
miHMM object or a list of
momentuHMM objects, then
the pseudo-residuals are individually calculated and plotted for each model fit. Note that pseudo-residuals for
miSum objects (as returned by
MIpool) are based on pooled parameter
estimates and the means of the data values across all imputations (and therefore may not be particularly meaningful).
Zucchini, W. and MacDonald, I.L. 2009. Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall (London).
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