generate_scenarios: Generate parameter settings for each simulation iteration
In JasperHG90/sleepsimR: Simulate and analyze sleep state data

Description Usage Arguments Details Value

View source: R/generate_scenarios.R

Generate parameter settings for each simulation iteration

1	generate_scenarios(seed = 3547912)

seed

random seed to use for generating parameter settings for each iteration. Defaults to 3547912, which is the seed I use for my thesis.

In my simulation study, I test 250 iterations for each of 144 different scenarios. Hence, this function returns a data frame with 36.000 rows - one for each iteration - that contains specific information used to generate and model the data

data frame with 36.000 rows and 11 columns

n: int. number of subjects
n_t: int. number of observed data points for each subject
zeta: float. between-subject variance for the means of the emission distributions
Q: float. between-subject variance for the intercepts of the transition-probability matrix
scenario_id: string .unique id of the simulation scenario
rank: int. iteration number of the simulation scenario
iteration_id: string. unique id of the iteration
dsim_seed: int. random seed used to generate the data
model_seed: int. random seed used to run the mHMM
start_gamma: json. initial values for the between-subject transition probability matrix
start_emiss: json. intiial values for each of the 3 emission distributions