Plot statistical power for common LTA estimates.
Details
The parameters are indexed as follows:
- 1
\(\theta_{11}\) parameter. Unique state variance for item 1.
- 2
\(\theta_{22}\) parameter. Unique state variance for item 2.
- 3
\(\theta_{33}\) parameter. Unique state variance for item 3.
- 4
\(\theta_{44}\) parameter. Unique state variance for item 4.
- 5
\(\nu_{0}\) parameter. Intercept for initial log-odds of profile 0 (vs. profile 1) when \(X = 0\).
- 6
\(\kappa_{0}\) parameter. Covariate effect on initial profile membership; higher \(X\) increases odds of profile 0.
- 7
\(\alpha_{0}\) parameter. Baseline log-odds of being in profile 0 across days.
- 8
\(\beta_{00}\) parameter. Increased odds of staying in profile 0 if previously in that profile; reflects persistence.
- 9
\(\gamma_{00}\) parameter. Covariate effect on staying in profile 0; higher \(X\) increases persistence.
- 10
\(\gamma_{10}\) parameter. Covariate effect on switching from state to profile 0; higher \(X\) increases transition odds.
- 11
\(\mu_{10}\) parameter. Profile specific mean for profile 0 and item 1.
- 12
\(\mu_{20}\) parameter. Profile specific mean for profile 0 and item 2.
- 13
\(\mu_{30}\) parameter. Profile specific mean for profile 0 and item 3.
- 14
\(\mu_{40}\) parameter. Profile specific mean for profile 0 and item 4.
- 15
\(\mu_{11}\) parameter. Profile specific mean for profile 1 and item 1.
- 16
\(\mu_{21}\) parameter. Profile specific mean for profile 1 and item 2.
- 17
\(\mu_{31}\) parameter. Profile specific mean for profile 1 and item 3.
- 18
\(\mu_{41}\) parameter. Profile specific mean for profile 1 and item 4.
See also
Other Figure Functions:
FigBiasCULTAEst(),
FigBiasLTAEst(),
FigCoverageCULTAEst(),
FigCoverageLTAEst(),
FigEntropy(),
FigIC(),
FigPowerCULTAEst(),
FigRMSECULTAEst(),
FigRMSELTAEst()
Examples
if (FALSE) { # \dontrun{
data(results_lta_est, package = "manCULTA")
FigPowerLTAEst(results_lta_est)
} # }