Hi All:
how to get the coefficient for logic regression using selection=2 ( fit
multiple models) and type=3 ( logistic regression)
for example i have a fit like below :
fit<-logreg(resp = model.dat[,21], bin=model.dat[,
2:18],sep=model.dat[,1] ,type=3,select=2,ntrees=2,nleaves=6
,anneal.contr
Hi here,
i recently notice the software built by otter company know as AD-MB
tools . i explore a little bit this tools under the R Package for mixed
logistics model. it is a very interesting tool. but i get several questions.
first question: i tried the R code below, and have the error , i can
the code is list below , i can run this code for laplace approximation
but not importance sampling. the code work properly if use impSamp=0 ,
but error for any other number >0 .
could you guys help me out.
thanks so much !
source("http://www.mi.uib.no/~skaug/cash/lesaffre_dat.s";)
library(glm
Hi there:
i got a problem to get the prediction from a model recently. for
example if i use a survival analysis to predict the risk. i use the code
like below: i found the the prediction is not equal to (coef * x + coef
* sex) , could someone help me with why this happened? and can someone
ex
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