iid.prodlim: Extract i.i.d. decomposition from a prodlim model

View source: R/iid.prodlim.R

iid.prodlimR Documentation

Extract i.i.d. decomposition from a prodlim model

Description

Compute the influence function for each observation used to estimate the model

Usage

## S3 method for class 'prodlim'
iid(x, add0 = FALSE, ...)

Arguments

x

A prodlim object.

add0

[logical] add the 0 to vector of relevant times.

...

not used. For compatibility with the generic method.

Details

This function is a simplified version of the iidCox function of the riskRegression package. Formula for the influence function can be found in (Ozenne et al., 2017).

Author(s)

Brice Ozenne

References

Brice Ozenne, Anne Lyngholm Sorensen, Thomas Scheike, Christian Torp-Pedersen and Thomas Alexander Gerds. riskRegression: Predicting the Risk of an Event using Cox Regression Models. The R Journal (2017) 9:2, pages 440-460.

Examples

library(data.table)
library(prodlim)

set.seed(10)
dt <- simBuyseTest(10)
setkeyv(dt, "treatment")

e.KM <- prodlim(Hist(eventtime,status)~treatment, data = dt)
lava::iid(e.KM)

BuyseTest documentation built on March 31, 2023, 6:55 p.m.