summary.mvna {mvna} | R Documentation |
Summary method for objects of class 'mvna'
Description
Summary method for mvna
objects. The function returns a list
containing the cumulative transition hazards, variance and other
informations.
Usage
## S3 method for class 'mvna'
summary(object, level = 0.95,
var.type = c("aalen", "greenwood"),
ci.fun = c("log", "linear", "arcsin"), ...)
## S3 method for class 'mvna'
print.summary(x, ...)
Arguments
object |
An object of class |
level |
Level of the pointwise confidence interval. Default is 0.95. |
var.type |
Which of the "aalen" or "greenwood" variance estimator should be displayed and used to compute the pointwise confidence intervals. Default is "aalen". |
ci.fun |
Which transformation to apply to the confidence intervals. One of "linear", "log", "arcsin". Default is "log". |
... |
Further arguments. |
x |
An object of class |
Value
Returns an object of class mvna
which is a list of data frames
named after the possible transitions. Each data frame contains the
following columns:
time |
Event times at which the cumulative hazards are estimated. |
na |
Estimated cumulative transition hazards. |
var.aalen or var.greenwood |
Variance estimates. The name depends
on the |
lower |
Lower bound of the pointwise confidence interval. |
upper |
Upper bound. |
n.risk |
Number of individuals at risk of experiencing an event
just before |
n.event |
Number of transitions at time |
Author(s)
Arthur Allignol, arthur.allignol@gmail.com
See Also
Examples
data(sir.adm)
## data set transformation
data(sir.adm)
id <- sir.adm$id
from <- sir.adm$pneu
to <- ifelse(sir.adm$status==0,"cens",sir.adm$status+1)
times <- sir.adm$time
dat.sir <- data.frame(id,from,to,time=times)
## Possible transitions
tra <- matrix(ncol=4,nrow=4,FALSE)
tra[1:2,3:4] <- TRUE
na.pneu <- mvna(dat.sir,c("0","1","2","3"),
tra,"cens")
summ.na.pneu <- summary(na.pneu)
## cumulative hazard for 0 -> 2 transition:
summ.na.pneu$"0 2"$na