[datatable-help] Calibrate after fit.mult.impute for a Cox model (rms package)

[albertoca]

Hi! 

I am trying to fit a Cox model with imputed data. However, the calibration
function does not seem to work after applying fit.mult.impute. 
Secondly, which is the best method to validate the model? 

This is the code... 

Could anyone help, please? 

aga_imp =aregImpute
(~her2_cox+ecog_cox+bone_cox+nmet3_cox+ascitis_cox+Grade+nlr_cox,data
=aga_NA, x=T, nk=0, n.impute =5) 
ddist=datadist(aga_sinNA) 
options(datadist="ddist") 
suv<- with(aga_NA, Surv(time,event)) 
cox <- fit.mult.impute(suv ~
her2_cox+ecog_cox+bone_cox+nmet3_cox+ascitis_cox+Grade+nlr_cox, cph,
aga_imp, data=aga_NA, n.impute=5, pr=F, surv=T, time.inc=365 ) 
cal<-calibrate(cox, cmethod='KM', method='boot',u=365,B=10) 


Unfortunately I obtain this: 
Error in predab.resample(fit, method = method, fit = coxfit, measure =
distance,  : 
  must have specified x=T and y=T on original fit 




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