register_simulation_outcomes: Send the results of the simulation to the master node

In JasperHG90/sleepsimRapiClient: R library that facilitates communication with the sleepsimR API <https://github.com/JasperHG90/sleepsimR-api>

Description

Send the results of the simulation to the master node

Usage

register_simulation_outcomes(
  scenario_uid,
  iteration_uid,
  PD_subj,
  emiss_mu_bar,
  gamma_prob_bar,
  emiss_var_bar,
  emiss_varmu_bar,
  credible_interval,
  label_switch,
  state_order,
  uid = getOption("sleepsimR_uid")
)

Arguments

scenario_uid	string. unique id of the current simulation scenario
iteration_uid	string. unique id of the iteration of the current scenario
PD_subj	list. The length of this list is equal to the number of subjects. It contains the subject-specific parameter estimates of the state-dependent means for each emission distribution. For more information, see return objects from mHMM_cont.
emiss_mu_bar	list. The length of this list is equal to the number of dependent variables. Each element of the list is a numeric vector that is equal to the number of hidden states, the value of which is the Maximum A Posteriori (MAP) estimate of that parameter.
emiss_var_bar	list. The length of this list is equal to the number of dependent variables. Each element of the list is a numeric vector that is equal to the number of hidden states, the value of which is the Maximum A Posteriori (MAP) estimate of that parameter.
emiss_varmu_bar	list. The length of this list is equal to the number of dependent variables. Each element of the list is a numeric vector that is equal to the number of hidden states, the value of which is the Maximum A Posteriori (MAP) estimate of that parameter.
credible_interval	list. The length of this list is equal to the number of dependent variables plus one. The elements of the list are (in this order): (1) a list containing m x m elements with the lower and upper 95% CI of the between-subject TPM intercepts (gamma_int_bar), (2) n_dep lists containing m elements with the lower and upper 95% CI of the between-subject emission distributions.
label_switch	Numeric vector of length m x n_dep.
state_order	List with n_dep numeric vectors containing integers indicating the ordering of the state means (as per the start values) after handing it off to run_mHMM. To detect label switching, the order of hyperprior means and start values are ranked from low to high. However, this is annoying when comparing estimated means to the ground-truth values (because they have not been ordered).
uid	unique id of this container
gamma_int_bar	numeric vector. m x m values where m is the number of hidden states.

Value

if successful, a message telling the container to shut down.

JasperHG90/sleepsimRapiClient documentation built on May 20, 2020, 1:29 p.m.