survReg
Object
survReg
object.
predict.survReg(object, newdata, type=c("response", "link", "linear", "response", "terms", "quantile", "uquantile"), se.fit=F, terms=labels.lm(object), p=c(0.1, 0.9))
survReg
function.
"response"
),
the linear predictor (
"linear"
, with
"lp"
as an allowed abbreviation),
a predicted quantile on the original scale of the data (
"quantile"
),
a quantile on the linear predictor scale (
"uquantile"
),
or the matrix of terms for the linear predictor (
"terms"
).
At this time,
"link"
and linear predictor (
"lp"
) are identical.
TRUE
, include the standard errors of the prediction in the result.
"terms"
is a matrix with
one column for every term (excluding the intercept) in the model.
Escobar and Meeker (1992). Assessing influence in regression analysis with censored data. Biometrics, 48, 507-528.
# Draw figure 1 from Escobar and Meeker fit <- survReg(Surv(time,status) ~ age + age^2, data=stanford2, dist='lognormal') plot(stanford2$age, stanford2$time, xlab='Age', ylab='Days', xlim=c(0,65), ylim=c(.01, 10^6), log='y') pred <- predict(fit, newdata=list(age=1:65), type='quantile', p=c(.1, .5, .9)) matlines(1:65, pred, lty=c(2,1,2), col=1)