norm_dist_ci_data: Compute the confidence intervals of fitted normal...
In simonecollier/lizardHMM: Fitting Lizard Movement Data with HMMs

This is a helper function for norm_hist_ci() which computes the confidence intervals for the fitted normal state dependent distributions by utilizing norm_ci().

norm_dist_ci_data(
  x,
  num_states,
  num_variables,
  num_subjects,
  sample,
  state_dep_dist_pooled = FALSE,
  x_step = 0.2,
  n = 100,
  level = 0.975
)

`x`	The data to be fit with an HMM in the form of a 3D array. The first index (row) corresponds to time, the second (column) to the variable number, and the third (matrix number) to the subject number.
`num_states`	The number of states in the desired HMM.
`num_variables`	The number of variables in the data.
`num_subjects`	The number of subjects/trials that generated the data.
`sample`	A list of `mu` and `sigma` sampled according to `norm_ci()`.
`state_dep_dist_pooled`	A logical variable indiacting whether the state dependent distribution parameters `mu` and `sigma` should be treated as equal for all subjects.
`x_step`	A value indicating the step length for the range of observation values.
`n`	The number of samples in the Monte Carlo fitting.
`level`	A number indicating the level of confidence for the desired interval.