Time series analysis features
- N=1 time series analysis (User’s Guide ex 6.23 – 6.28)
- Two-level time series analysis (User’s Guide ex 9.30 – 9.37)
- Cross-classified time series analysis (User’s Guide ex 9.38 – 9.40)
- Time series plots (sample values, ACF, PACF, estimated factor scores)
- Two-level modeling with random variances (User’s Guide ex 9.28, 9.29)
- Two-level random autocorrelation modeling
- Standardization for two-level models with random slopes and random variances
- Random slopes for covariates with missing data
- New within/between scatter plots and histograms for two-level models, including sample and model-estimated cluster-specific means and variances
- New Posterior Predictive P-values for BSEM (PPPP; Hoijtink & van deSchoot, 2017; Asparouhov & Muthén, 2017)
- Output in HTML format