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Screenshots of WebStatR
How to use web statistical analysis
SAS WinBUGS for growth curve models
SAS WinBUGS for factor analysis
SAS WinBUGS for linear regression
Codes for Mplus using MLE based on block-Toeplitz to estimate Dynamic factor models
Codes for DyFA using least square method to estimate Dynamic factor models
Codes for WinBUGS using Bayesian method to estimate Dynamic factor models
Codes for MKFM6 using Kalman filter method to estimate Dynamic factor models
The R function to simulate data for the direct autoregressive factor score model
The R function to simulate data for the direct autoregressive factor score model. This is a supplement for the paper "Comparisons of Four Methods for Estimating a Dynamic Factor Model".
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