norm_ci_data: Reformat confidence interval data

In simonecollier/lizardHMM: Fitting Lizard Movement Data with HMMs

Description

This is a helper function for norm_ci() which reformats the output so that it is more easily interpreted.

Usage

norm_ci_data(
  num_states,
  num_variables,
  num_subjects,
  num_covariates,
  estimate_vec,
  upper_vec,
  lower_vec,
  state_dep_dist_pooled = FALSE
)

Arguments

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.
num_covariates	The number of covariates in the data that the transition probability depends on.
estimate_vec	A vector containing the estimated natural parameters of the normal HMM in the format outputte by norm_natural_vec().
upper_vec	A vector containing the upper confidence interval of the estimated natural parameters of the normal HMM in the format outputte by norm_natural_vec().
lower_vec	A vector containing the lower confidence interval of the estimated natural parameters of the normal HMM in the format outputte by norm_natural_vec().
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.

Value

A list containing the upper and lower confidence interval for each estimated parameter.

simonecollier/lizardHMM documentation built on Dec. 23, 2021, 2:24 a.m.