`OXcoef`

calculates transition coefficient 0.025, 0.05, mean, 0.50 (median),
0.95, 0.975 quantiles from the iterations. Each of K-1 states (K-1 for identifiability)
has K Markov coefficients and B input coeffients.

1 |

`nhmmobj` |
an object created from the NHMM function |

`plots` |
TRUE/FALSE- default is FALSE because the plot window can grow quite large depending on the number of parameters. |

`outfile` |
a directory to put the .png plot |

params [K-1 by K+B] by 6. There are six values returned: 0.025, 0.05, mean, 0.50 (median), 0.95, 0.975 quantiles from the iterations. (0.025, 0.975) are used to construct 95 likewise (0.05, 0.95) can be used to construct 90

output: plot window can grow quite large depending on the number of states. [K-1 by K+B] panes.

output: outputs statements of 90 and each X input coefficients (if any of the K-1 coefficients for a variable are significant then that variable is deemed signficant.)

1 2 | ```
#thetas=OXcoef(my.nhmm, FALSE);
#thetas[,,,,3] #mean values
``` |

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