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My Research   BAUW   BMEM   Consulting & Collaboration   Dynamic Models   MedCI   R   SAS GCM power   SAS WinBUGS   WebStatR   Publications   Programs   In Progress   Favorites Web This Site Home > My Research List of category BAUW BMEM Consulting & Collaboration Dynamic Models MedCI R SAS GCM power SAS WinBUGS WebStatR Publications Programs In Progress Favorites Contents 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". Total 47 ,Display 11 - 20 « Previous page 1 2 3 4 5 Next page »

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