psc (version 1.2.0)

linPred: Estimates the linear predictor of a psc object

Description

A function which created a linear predictor from a model and an external dataset. If required, linear predictors will be provided on the response scale. For a survival outcome, this will take the form of median survival estimates.

Usage

linPred(DC_clean, resp = FALSE)

Value

Extracts the linear predictor from a object containing both a counter factual model and a data cohort which is created using the dataComb() fucntion.

Arguments

DC_clean

a cleaned data obhject created using dataComb()

resp

detailing whether the linear predictor shoudl be returned on the natural or response level. Defaults to the natural scale (resp=F)

Details

A function which combines the data from the data cohort against the model parameters of the PSC

Examples

library(psc)
library(survival)
surv.mod <- psc::surv.mod
data <- psc::data
dc <- dataComb(surv.mod,data)
lp <- linPred(dc)