prep_coxfit {shinyCox}

Create simplified coxph() object for shiny app

Description

Simplifies coxph() output and checks that predictions match those of the original object

Usage

prep_coxfit(coxph.result, tol = 1e-07)

Arguments

coxph.result

Result returned by coxph()

tol

numerical tolerance for prediction differences, default is 1e-7

Value

list containing baseline survival estimates, linear predictor estimates, predictor types, coefficient estimates, mean and range of numeric predictors, levels of categorical predictors, strata if any, coxph() formula, table of hazard ratios, table with proportional hazard assumption results, number of subjects, and number of events

Examples

# First, fit model using coxph
library(survival)
bladderph <- coxph(Surv(stop, event) ~ rx + number + size, bladder,
model = TRUE, x = TRUE)
# Use coxph object with function
bladderfit <- prep_coxfit(bladderph)