Rstpm2-package | R Documentation |
The package implements the stpm2 models from Stata. Such models use a flexible parametric formulation for survival models, using natural splines to model the log-cumulative hazard. Model predictions are rich, allowing for direct estimation of the hazard, survival, hazard ratios, hazard differences and survival differences. The models allow for time-varying effects, left truncation and relative survival.
The R implementation departs from the Stata implementation, using the ns() function, which is based on a projection of B-splines, rather than using truncated power splines as per Stata.
Package: | Rstpm2 |
Type: | Package |
Version: | 1.0 |
Date: | 2011-07-06 |
License: | GPL-2 |
LazyLoad: | yes |
Depends: | methods, bbmle |
Imports: | splines, survival, stats, graphics |
The package exports the stpm2
object, which inherits from
the mle2
object from the bbmle
package. Methods are
specified for the stpm2
object, including predict
and plot
methods.
Mark Clements and Paul Lambert.
Maintainer: <mark.clements@ki.se>
stpm2
data(brcancer) summary(fit <- stpm2(Surv(rectime,censrec==1)~hormon,data=brcancer,df=3)) summary(fit.tvc <- stpm2(Surv(rectime,censrec==1)~hormon,data=brcancer,df=3, tvc=list(hormon=3))) anova(fit,fit.tvc) plot(fit.tvc,newdata=data.frame(hormon=0),type="hr",var="hormon")
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