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2025-01-12 00:52:51 +08:00
R version 3.0.0 (2013-04-03) -- "Masked Marvel"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)
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> options(na.action=na.exclude) # preserve missings
> options(contrasts=c('contr.treatment', 'contr.poly')) #ensure constrast type
> library(survival)
Loading required package: splines
>
> #
> # Verify that scale can be fixed at a value
> # coefs will differ slightly due to different iteration paths
> tol <- .001
>
> # Intercept only models
> fit1 <- survreg(Surv(time,status) ~ 1, lung)
> fit2 <- survreg(Surv(time,status) ~ 1, lung, scale=fit1$scale)
> all.equal(fit1$coef, fit2$coef, tolerance= tol)
[1] TRUE
> all.equal(fit1$loglik, fit2$loglik, tolerance= tol)
[1] TRUE
>
> # The two robust variance matrices are not the same, since removing
> # an obs has a different effect on the two models. This just
> # checks for failure, not for correctness
> fit3 <- survreg(Surv(time,status) ~ 1, lung, robust=TRUE)
> fit4 <- survreg(Surv(time,status) ~ 1, lung, scale=fit1$scale, robust=TRUE)
>
>
> # multiple covariates
> fit1 <- survreg(Surv(time,status) ~ age + ph.karno, lung)
> fit2 <- survreg(Surv(time,status) ~ age + ph.karno, lung,
+ scale=fit1$scale)
> all.equal(fit1$coef, fit2$coef, tolerance=tol)
[1] TRUE
> all.equal(fit1$loglik[2], fit2$loglik[2], tolerance=tol)
[1] TRUE
>
> fit3 <- survreg(Surv(time,status) ~ age + ph.karno, lung, robust=TRUE)
> fit4 <- survreg(Surv(time,status) ~ age + ph.karno, lung,
+ scale=fit1$scale, robust=TRUE)
>
> # penalized models
> fit1 <- survreg(Surv(time, status) ~ pspline(age), lung)
> fit2 <- survreg(Surv(time, status) ~ pspline(age), lung, scale=fit1$scale)
> all.equal(fit1$coef, fit2$coef, tolerance=tol)
[1] TRUE
> all.equal(fit1$loglik[2], fit2$loglik[2], tolerance=tol)
[1] TRUE
>
> fit3 <- survreg(Surv(time,status) ~ pspline(age) + ph.karno, lung, robust=TRUE)
> fit4 <- survreg(Surv(time,status) ~ pspline(age) + ph.karno, lung,
+ scale=fit1$scale, robust=TRUE)
>
>
>
> proc.time()
user system elapsed
0.304 0.044 0.344