Aliases: residuals.survreg residuals.survreg.penal
Keywords: survival
### ** Examples fit <- survreg(Surv(futime, death) ~ age + sex, mgus2) summary(fit) # age and sex are both important
Call: survreg(formula = Surv(futime, death) ~ age + sex, data = mgus2) Value Std. Error z p (Intercept) 8.85979 0.23842 37.16 < 2e-16 age -0.05360 0.00312 -17.19 < 2e-16 sexM -0.31874 0.06357 -5.01 5.3e-07 Log(scale) -0.02840 0.02787 -1.02 0.31 Scale= 0.972 Weibull distribution Loglik(model)= -5528.3 Loglik(intercept only)= -5699 Chisq= 341.42 on 2 degrees of freedom, p= 7.3e-75 Number of Newton-Raphson Iterations: 5 n= 1384
rr <- residuals(fit, type='matrix') sum(rr[,1]) - with(mgus2, sum(log(futime[death==1]))) # loglik
[1] -5528.267
plot(mgus2$age, rr[,2], col= (1+mgus2$death)) # ldresp