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Hi dear all, Can aynone help me about delete-d jackknife usually normal jackknife code for my data is: n <- nrow(data) y <- data$y z <- data$z theta.hat <- mean(y) / mean(z) print (theta.hat) theta.jack <- numeric(n) for (i in 1:n) theta.jack[i] <- mean(y[-i]) / mean(z[-i]) bias <- (n - 1) * (mean(th...

...ability of membership for 4 (it seems that this is about the right number) of clusters. Then, I will need to use a small number of covariates to predict membership. Unfortunately, poLCA cannot compute probability of latent group membership for ordinal categorical "response" variables. Can aynone suggest another R package (or any other free package)? Or maybe is there  an R package to use my ordinal "response" variables to compute membership probabilities and then (as a second independent analysis) use another software to compute regression coefficients where the membership prob...