Simulation Parameters

Usage

data(params)

Format

A dataframe with 9 rows and 39 columns:

taskid: Simulation Task ID.
n: Sample size.
separation: Level of separation. 0 for moderate, -1 for low, and 1 for strong.
m: Measurement occasions.
mu_x: \(\mu_{x}\) parameter. Mean of the covariate.
sigma_x: \(\sigma_{x}\) parameter. Variance of the covariate.
mu_10: \(\mu_{10}\) parameter. Profile specific mean for profile 0 and item 1.
mu_20: \(\mu_{20}\) parameter. Profile specific mean for profile 0 and item 2.
mu_30: \(\mu_{30}\) parameter. Profile specific mean for profile 0 and item 3.
mu_40: \(\mu_{40}\) parameter. Profile specific mean for profile 0 and item 4.
lambda_t2: \(\lambda_{t2}\) parameter. Factor loading for the common trait and item 2.
lambda_s2: \(\lambda_{s2}\) parameter. Factor loading for the common state and item 2.
lambda_t3: \(\lambda_{t3}\) parameter. Factor loading for the common trait and item 3.
lambda_s3: \(\lambda_{s3}\) parameter. Factor loading for the common state and item 3.
lambda_t4: \(\lambda_{t4}\) parameter. Factor loading for the common trait and item 4.
lambda_s4: \(\lambda_{s4}\) parameter. Factor loading for the common state and item 4.
theta_11: \(\theta_{11}\) parameter. Unique state variance for item 1.
theta_22: \(\theta_{22}\) parameter. Unique state variance for item 2.
theta_33: \(\theta_{33}\) parameter. Unique state variance for item 3.
theta_44: \(\theta_{44}\) parameter. Unique state variance for item 4.
phi_0: \(\phi_{0}\) parameter. Autoregressive coefficient for profile 0.
psi_t: \(\psi_{t}\) parameter. Variance in the common trait; reflects stable between-person differences.
psi_p_11: \(\psi_{p11}\) parameter. Trait-specific item 1 variance.
psi_p_22: \(\psi_{p22}\) parameter. Trait-specific item 2 variance.
psi_p_33: \(\psi_{p33}\) parameter. Trait-specific item 3 variance.
psi_p_44: \(\psi_{p44}\) parameter. Trait-specific item 4 variance.
psi_s0: \(\psi_{s0}\) parameter. Initial-day variance of the common state; reflects variability in intoxication levels at observation start.
psi_s: \(\psi_{s}\) parameter. Residual state variance over days; captures within-person daily fluctuations not explained by trait or AR effects.
mu_11: \(\mu_{11}\) parameter. Profile specific mean for profile 1 and item 1.
mu_21: \(\mu_{21}\) parameter. Profile specific mean for profile 1 and item 2.
mu_31: \(\mu_{31}\) parameter. Profile specific mean for profile 1 and item 3.
mu_41: \(\mu_{41}\) parameter. Profile specific mean for profile 1 and item 4.
phi_1: \(\phi_{1}\) parameter. Autoregressive coefficient for profile 1.
nu_0: \(\nu_{0}\) parameter. Intercept for initial log-odds of profile 0 (vs. profile 1) when \(X = 0\).
alpha_0: \(\alpha_{0}\) parameter. Baseline log-odds of being in profile 0 across days.
kappa_0: \(\kappa_{0}\) parameter. Covariate effect on initial profile membership; higher \(X\) increases odds of profile 0.
beta_00: \(\beta_{00}\) parameter. Increased odds of staying in profile 0 if previously in that profile; reflects persistence.
gamma_00: \(\gamma_{00}\) parameter. Covariate effect on staying in profile 0; higher \(X\) increases persistence.
gamma_10: \(\gamma_{10}\) parameter. Covariate effect on switching from state to profile 0; higher \(X\) increases transition odds.

Author

Ivan Jacob Agaloos Pesigan