On 05.08.2013 20:27, Silvano wrote:
Hi,

I tried to fit a model using a timecox function in R version 3.0.0,
using sTRACE data  present in survival package.

If I use the 2.9.0 version, I don't have problems, but in 3.0.0 version,
I get the following error message:

out <- timecox(Surv(time/365, status==9) ~ age+sex+diabetes+chf+vf,
sTRACE, max.time=7, n.sim=500)

Error in .C("OStimecox", as.double(times), as.integer(Ntimes),
as.double(designX),  :
  "OStimecox" not available for .C() for package "timereg"

I don't know what's happend.

Perhaps an old package that was not built for R-3.0.0 or some old code in your wokrspace?

Uwe Ligges


I would like use 3.0.0 version, but I don't know what's wrong. Somebody
help me?


Also, when I use the aalen model I get differents results in 3.0.0 and
2.9.0 versions. Why?

Version 3.0.0:

fit1.semi <- aalen(Surv(time/365, status==9)~age+sex+diabetes+chf+vf,
sTRACE,max.time=7,n.sim=500)
summary(fit1.semi)

Additive Aalen Model

Test for nonparametric terms

Test for non-significant effects
            Supremum-test of significance p-value H_0: B(t)=0
(Intercept)                          7.29 0.000
age                                  8.63 0.000
sex                                  2.95 0.060
diabetes                             2.31 0.240
chf                                  5.30 0.000
vf                                   2.95 0.042

Test for time invariant effects
                  Kolmogorov-Smirnov test p-value H_0:constant effect
(Intercept)                       0.68600 0.006
age                               0.00934 0.008
sex                               0.16900 0.078
diabetes                          0.22100 0.184
chf                               0.14800 0.176
vf                                0.46100 0.008


in 2.9.0 version:

fit1.semi <- aalen(Surv(time/365, status==9)~age+sex+diabetes+chf+vf,
sTRACE,max.time=7,n.sim=500)
summary(fit1.semi)
Additive Aalen Model

Test for nonparametric terms

Test for non-significant effects
            sup|  hat B(t)/SD(t) | p-value H_0: B(t)=0
(Intercept)                   7.29               0.000
age                           8.63               0.000
sex                           2.95               0.052
diabetes                      2.31               0.246
chf                           5.30               0.000
vf                            2.95               0.026

Test for time invariant effects
            sup| B(t) - (t/tau)B(tau)| p-value H_0: B(t)=b t
(Intercept)                    0.68600                 0.004
age                            0.00934                 0.004
sex                            0.16900                 0.084
diabetes                       0.22100                 0.208
chf                            0.14800                 0.158
vf                             0.46100                 0.004

part of them...


Thanks a lot,

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346

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