Displaying 5 results from an estimated 5 matches for "newstrat".
Did you mean:
newstat
2018 Oct 02
3
maximum matrix size
...t a "NA produced by integer overflow" message,? in
the code below.?? A fix is obvously not quite that easy :-)
??? ??? resid <- .C(Ccoxscore, as.integer(n),
??? ??? ??? ??? as.integer(nvar),
??? ??? ??? ??? as.double(y),
??? ??? ??? ??? x=as.double(x),
??? ??? ??? ??? as.integer(newstrat),
??? ??? ??? ??? as.double(score),
??? ??? ??? ??? as.double(weights[ord]),
??? ??? ??? ??? as.integer(method=='efron'),
??? ??? ??? ??? resid= double(n*nvar),
??? ??? ??? ??? double(2*nvar))$resid
Terry T.
[[alternative HTML version deleted]]
2004 Dec 16
0
fitting problems in coxph.fit
...;coxfit2", iter=as.integer(maxiter),
as.integer(n),
as.integer(nvar), stime,
sstat,
x= x[sorted,] ,
as.double(offset[sorted] - mean(offset)),
as.double(weights),
newstrat,
means= double(nvar),
coef= as.double(init),
u = double(nvar),
imat= double(nvar*nvar), loglik=double(2),
flag=integer(1),
double(2*n + 2*nvar*nvar + 3*nvar),
as.doub...
2011 Jul 19
1
"may be used in an incorrect context"
....max),
as.integer(n),
as.integer(nvar), sstart, sstop,
sstat,
x= x[sorted,],
sextra,
as.integer(length(response.prob)),
as.double(response.prob),
as.double(alpha),
as.double(offset[sorted] - mean(offset)),
newstrat,
means = double(nvar),
coef= as.double(beta),
u = double(nvar),
imat= double(nvar*nvar), loglik=double(2),
flag=integer(1),
double(2*nvar*nvar +nvar*4 + n),
integer(2*n),
as.double(control$eps),
as.double(control$toler.chol),
sctest=double(1),...
2018 Oct 02
0
maximum matrix size
...overflow" message, in
> the code below. A fix is obvously not quite that easy :-)
>
> resid <- .C(Ccoxscore, as.integer(n),
> as.integer(nvar),
> as.double(y),
> x=as.double(x),
> as.integer(newstrat),
> as.double(score),
> as.double(weights[ord]),
> as.integer(method=='efron'),
> resid= double(n*nvar),
> double(2*nvar))$resid
>
> Terry T.
>
>
> [[alternative HTML v...
2007 Dec 17
2
Capture warning messages from coxph()
Hi,
I want to fit multiple cox models using the coxph() function. To do
this, I use a for-loop and save the relevant results in a separate
matrix. In the example below, only two models are fitted (my actual
matrix has many more columns), one gives a warning message, while the
other does not. Right now, I see all the warning message(s) after the
for-loop is completed but have no idea which model