===== Manuscripts ===== - Version 1. {{:lab:projects:02robust_growth_curve_modeling_using_student-t_distribution:student_t_growth_curve_modeling_mar_03_2010.pdf}} ===== Read data analysis ===== ==== Data ==== * [[NLSY real data]] * [[R codes related to real data analysis]] * {{:lab:projects:02robust_growth_curve_modeling_using_student-t_distribution:digitspan.csv|NLSY digit span variable (???)}} ===== Simulations ===== * [[BUGS codes for data simulation]] * [[R codes to process simulated data from BUGS]] * [[R codes to generate simulation submission scripts]] * [[R codes to process the coda files]] * [[R codes for final results process]] * [[R function for processing DIC]] ==== Using SAS to run simulation ==== * [[SAS codes]] * [[Latent basis GCM in bugs]] * Initial values for uniform prior list(A=c(NA, .25, .5, .75, NA),k=4, bL=c(6), bS = c(1), Pre_e2 = 1, rho=0, Cov= structure(.Data = c(1,NA,NA,1),.Dim=c(2,2))) * [[GCM with Wishart prior|Latent basis GCM with Wishart prior]] * Initial values for Wishart prior list(A=c(NA, .25, .5, .75, NA),k=4, bL=c(0), bS = c(0), Pre_e2 = 1, Inv_cov= structure(.Data = c(1,0,0,1),.Dim=c(2,2))) * Script to run BUGS modelCheck("model.txt") modelData("data.txt") modelCompile() modelInits("inits.txt") modelGenInits() modelUpdate(10000) samplesSet("para") modelUpdate(50000) samplesCoda("para","coda") modelQuit() ==== Simulation Results ==== ===== Some useful scripts ===== * zip files tar czvf Ndata-Tdata-0.1.tgz NdataR * [[Simulate data and analyze in Mplus]] * [[Generate student t random numbers using auxiliary variable method in R]] ===== References ===== * [[http://sekhon.berkeley.edu/library/MASS/html/cov.trob.html|Estimate the covariance matrix for multivariate t]] ~~DISCUSSION~~