average_model_SE | Compute the average model SE |
average_model_SE_mcmc_se | Compute the MCMC SE for the average model SE |
bias | Compute the parameter bias of a vector estimated parameters... |
bias_MCMC_SE | MCMC Standard Error of the bias value |
burn | Burn function for model output |
coverage | Compute coverage |
coverage_MCMC_SE | Coverage MCMC Standard Error |
credible_interval | Compute upper and lower values of the 95% credible interval |
empirical_MCMC_SE | Compute the MCMC SE |
empirical_SE | Compute the empirical SE |
fit_mHMM | Fit mHMM using mHMMfast |
get_cci | Retrieve CCI estimates for parameters |
get_pars | Load simulation parameters |
get_pars_surf | Load simulation parameters |
get_subject_tpm | Convert a list of probabilities into an m x m transition... |
get_var_bar | Get between subject variance |
init_log | Initialize simulation log |
MAP | Retrieve MAP estimates for parameters |
mHMMfast | Get estimations with mHMMfast |
mHMMlight | Get estimations with mHMMlight |
MSE | Mean Squared Error (MSE) |
MSE_MCMC_SE | MSE MCMC Standard Error |
postprocess_ci | Postprocess credible intervals |
postprocess_gamma_int | Postprocess utility function for gamma_prob_bar |
postprocess_param_est | Postprocessing utility function for parameter estimates |
postprocess_subject_specific | Postprocess subject-specific metrics |
rel_bias | Compute the parameter bias of a vector estimated parameters... |
rel_bias_MCMC_SE | MCMC Standard Error of the bias value |
run_one_sim | Run one simulation |
run_one_sim_surf | Run one simulation in SurfSara Lisa |
summarize_simulation_scenario | Wrapper function that computes all simulation metrics |
summary.mHMM | Summary for mHMM |
test_fit_mHMM | Fit mHMM using mHMMfast |
test_get_pars_surf | Load simulation parameters |
test_run_one_sim_surf | Run one simulation in SurfSara Lisa |
vit_mHMM_map | Obtain hidden state sequence for each subject using the... |
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