Plot Statistical Power (CULTA Estimates)
Source:R/manCULTA-fig-power-culta-est.R
FigPowerCULTAEst.RdPlot statistical power for CULTA estimates.
Details
The parameters are indexed as follows:
- 1
\(\phi_{0}\) parameter. Autoregressive coefficient for profile 0.
- 2
\(\phi_{1}\) parameter. Autoregressive coefficient for profile 1.
- 3
\(\psi_{T}\) parameter. Variance in the common trait; reflects stable between-person differences.
- 4
\(\lambda_{t2}\) parameter. Factor loading for the common trait and item 2.
- 5
\(\lambda_{t3}\) parameter. Factor loading for the common trait and item 3.
- 6
\(\lambda_{t4}\) parameter. Factor loading for the common trait and item 4.
- 7
\(\psi_{p11}\) parameter. Trait-specific item 1 variance.
- 8
\(\psi_{p22}\) parameter. Trait-specific item 2 variance.
- 9
\(\psi_{p33}\) parameter. Trait-specific item 3 variance.
- 10
\(\psi_{p44}\) parameter. Trait-specific item 4 variance.
- 11
\(\psi_{s0}\) parameter. Initial-day variance of the common state; reflects variability in intoxication levels at observation start.
- 12
\(\psi_{s}\) parameter. Residual state variance over days; captures within-person daily fluctuations not explained by trait or AR effects.
- 13
\(\lambda_{s2}\) parameter. Factor loading for the common state and item 2.
- 14
\(\lambda_{s3}\) parameter. Factor loading for the common state and item 3.
- 15
\(\lambda_{s4}\) parameter. Factor loading for the common state and item 4.
- 16
\(\theta_{11}\) parameter. Unique state variance for item 1.
- 17
\(\theta_{22}\) parameter. Unique state variance for item 2.
- 18
\(\theta_{33}\) parameter. Unique state variance for item 3.
- 19
\(\theta_{44}\) parameter. Unique state variance for item 4.
- 20
\(\nu_{0}\) parameter. Intercept for initial log-odds of profile 0 (vs. profile 1) when \(X = 0\).
- 21
\(\kappa_{0}\) parameter. Covariate effect on initial profile membership; higher \(X\) increases odds of profile 0.
- 22
\(\alpha_{0}\) parameter. Baseline log-odds of being in profile 0 across days.
- 23
\(\beta_{00}\) parameter. Increased odds of staying in profile 0 if previously in that profile; reflects persistence.
- 24
\(\gamma_{00}\) parameter. Covariate effect on staying in profile 0; higher \(X\) increases persistence.
- 25
\(\gamma_{10}\) parameter. Covariate effect on switching from state to profile 0; higher \(X\) increases transition odds.
- 26
\(\mu_{10}\) parameter. Profile specific mean for profile 0 and item 1.
- 27
\(\mu_{20}\) parameter. Profile specific mean for profile 0 and item 2.
- 28
\(\mu_{30}\) parameter. Profile specific mean for profile 0 and item 3.
- 29
\(\mu_{40}\) parameter. Profile specific mean for profile 0 and item 4.
- 30
\(\mu_{11}\) parameter. Profile specific mean for profile 1 and item 1.
- 31
\(\mu_{21}\) parameter. Profile specific mean for profile 1 and item 2.
- 32
\(\mu_{31}\) parameter. Profile specific mean for profile 1 and item 3.
- 33
\(\mu_{41}\) parameter. Profile specific mean for profile 1 and item 4.
See also
Other Figure Functions:
FigBiasCULTAEst(),
FigBiasLTAEst(),
FigCoverageCULTAEst(),
FigCoverageLTAEst(),
FigEntropy(),
FigIC(),
FigPowerLTAEst(),
FigRMSECULTAEst(),
FigRMSELTAEst()
Examples
if (FALSE) { # \dontrun{
data(results_culta_est, package = "manCULTA")
FigPowerCULTAEst(results_culta_est)
} # }