Dear all, 

Happy new year all of You and with best wishes coming to you in this new year.

I have a problem in running a command in rms package.
Does any can help me with my problem.

I wanna use predab.resample command to compute bias-corrected estimates of a vector of indexes of Predictive accuracy. But I'm confused about choosing fit and measure arguments. 

Would you please help me? 

I ran this command:
model1=lrm(Cancerous~AGE+PV+PSA,na.action=na.delete,x=TRUE, y=TRUE, data=mdat1)

now when I want to use this one:

predab.resample<-predab.resample(model, method=c("boot","crossvalidation",".632","randomization"),
bw=TRUE, B=50, pr=FALSE,
rule="aic", type="residual", sls=.05, aics=0,
tol=1e-12, non.slopes.in.x=TRUE)


I received this error:

Error in predab.resample(model, method = c("boot", "crossvalidation",  : 
  argument "fit" is missing, with no default


I will be very happy to receive your comments.

Many thanks
Amir

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