R/mcslope.R

In musto101/wilcox_R: What the package does (short line)

mcslope <-
function(X, Y, con, k){
J=length(X)
slopes<-numeric(J)
covar<-numeric(J)
for(j in 1:J){
tempx<-as.matrix(X[[j]])
tempy<-as.matrix(Y[[j]])
slopes[j]<-lsfit(tempx, tempy)$coef[k] #Slopes for original data
covar[j]<-lsfitNci4(tempx, tempy)$cov[k,k] #original HC4 for coefficient(slope)
}
dif.slopes<-t(con)%*%slopes
o.se<-t(con^2)%*%covar
o.stat<-dif.slopes/sqrt(o.se) #original test statistics
om<-max(abs(o.stat))
om
}