Description Usage Arguments Value
View source: R/move.HSMM.ACF.R
This function compares the empirical ACFs to those simulated from the fitted HSMM. Experimental.
1 2 3 | move.HSMM.ACF(move.HSMM, simlength = 10000,
transforms = NULL, lag.max = 10, ylim = NULL,
tol = 0.1)
|
move.HSMM |
A move.HMM object containing a fitted HSMM model. |
simlength |
The number of observations to simulate. The ACF from the simulated data will converge to the theoretical ACF as simlength goes to infinity |
transforms |
A list of length ndist that contains functions for transforming the data for each distribution. Default is NULL, so data are not transformed. |
lag.max |
Maximum lag at which to calculate the acf. Default is 10. |
ylim |
a ndist x 2 matrix with the lower and upper bounds for plotting each ACF. Defaults to (-0.3,0.3). |
tol |
numeric value indicating the distance between the empirical and simulated ACFs plots at each lag length. Defaults to 0.1. |
A vector of shifted negative binomial pdf values
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