sorry to bother everyone.
i have question to get the coefficient and confidence interval in Logic
Regression with Logistic model.  below i list the R code

X <- matrix(as.numeric(runif(400) < 0.5), 50,8)
colnames(X) <- paste("X", 1:ncol(X), sep="")
rownames(X) <- paste("case", 1:nrow(X), sep="")
# Define expected result: Y = (NOT X1) AND X5
Y <- as.numeric(!X[,1] & X[,5])
z<-as.numeric(runif(50))

model.dat<-cbind(X,z,Y)

set.seed(12345)
Annealing <- logreg.anneal.control(start = 4, end = -4, iter = 1000, update
= 50)
logicfit <- logreg(resp=model.dat[,10],
bin=model.dat[,1:8],sep=model.dat[,9],
                   type = 3,
                   select = 2,
                   ntrees=2,
                   nleaves=3,
                   anneal.control=Annealing)

use names(logicfit)  ,  i didn't see coef  class. how to i get the
coefficient of the model , especially for the additive effect.
is there command i can  calculate the sd so that i can have confidence
interval.

model.dat2<-model.dat
secondly i try to use alltrees <- eval.logreg(logicfit , model.dat2)  to
score a new data set model.dat2. but this doesn't work.

thanks for your help.
leo

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