https://nd.psychstat.org/ 2026-05-10T17:10:51+00:00 https://nd.psychstat.org/ https://nd.psychstat.org/_media/wiki/dokuwiki.svg text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/research/supplementary/brm2015 Supplementary Material for Zhang (2015) R code for data generation library(sn) library(mvtnorm) library(normalp) set.seed(20120301) ### normal data mL<-5 mS<-2 vL<-2 vS<-1 vLS<-0 vE<-1 TT<-5 N<-500 R<-100 mu<-c(mL,mS) sigma<-array(c(vL,vLS,vLS,vS), dim=c(2,2)) for (k in 1:R){ y<-array(NA, dim=c(N, TT)) LS<-array(NA, dim=c(N, 2)) error<-NULL for (t in 1:TT){ error<-cbind(error, rnorm(N,df=df)*sqrt(vE)) } for (i in 1:N){ LS[i,]<-rmvnorm(1, mu, sigma) for (j in 1:TT){ y[i, j] <… text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/research/supplementary/imps2014 Supplementary Material for Zhang, Wang, and Tong (2014) Mediation Analysis with Missing Data through Multiple Imputation and Bootstrap Use of R package bmem To use bmem, first install it using the code on Line 1 if you haven't done so. The code on Line 2 loads the package. One can then read the data into R using the read.table function which reads data in text format separated by white space. After than, one can specify the model using equations as shown on Line 13-15. Note that each regressi… text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/research/supplementary/index Supplementary Materials This page lists the supplementary materials for publications by LDHRM. * Tong & Zhang (2012) * Lu & Zhang (2014) * IMPS proceeding Zhang, Wang, and Tong (2014) * Zhang (2015) * Liu, Zhang & Grimm (2015) text/html 2016-01-24T14:48:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://nd.psychstat.org/research/supplementary/sem2015 [Complete results]