Ccompute {EMSNM} | R Documentation |
Compute the probability of Y in given parameters alphat, sigmat, etat and variables X, Z by the Bayesian Formula under the assumption of Sigmoid-Normal Model.
Ccompute(alphat, sigmat, etat, X, Z, Y)
alphat |
the coeffients of the mean of each subgroup |
sigmat |
the variance of Y |
etat |
the coeffients determining subgroup |
X |
the covariables of the mean of each subgroup |
Z |
the covaraibles determining subgroup |
Y |
the respond variable |
the probability of Y in given parameters alphat, sigmat, etat and variables X, Z under the assumption of Sigmoid-Normal Model.
Linsui Deng
#some variables samplesize <- 1000 classsize <- 6 etasize <- 3 alphasize <- 2 Xtest <- data.frame(matrix(rnorm(samplesize*etasize),samplesize,etasize)) Ztest <- matrix(rnorm(samplesize*alphasize),samplesize,alphasize) etatest <- matrix(seq(1.15,1,length=etasize*classsize),etasize,classsize) alphatest <- matrix(seq(1.15,1,length=alphasize*classsize),alphasize,classsize) Wtest <- Wgenerate(alpha=alphatest,eta=etatest,X=Xtest,Z=Ztest) #test of Ccompute sigmatest <- 1 Ctest <- Ccompute(alphat=alphatest,sigmat=sigmatest, etat=etatest,X=Wtest$X,Z=Wtest$Z,Y=Wtest$Y)