Simulation Parameters

library(manCULTA)

?params

params

R Documentation

Description

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(s)

Ivan Jacob Agaloos Pesigan