loess_cal: calibration curve via 'loess'

In pmcalibration: Calibration Curves for Clinical Prediction Models

calibration curve via loess

Description

calibration curve via loess

Usage

loess_cal(p, y, x, xp, save_data = TRUE, save_mod = TRUE, pw = FALSE)

Arguments

p	predicted probabilities
y	binary outcome
x	predictor (could be transformation of p)
xp	values for plotting (same scale as x)
save_data	whether to save y, p, x, xp in the returned object
save_mod	whether to save the model in the returned object
pw	save pointwise standard errors for plotting

Value

list of class loess_cal

Examples

library(pmcalibration)
# simulate some data
n <- 500
dat <- sim_dat(N = n, a1 = .5, a3 = .2)

# predictions
p <- with(dat, invlogit(.5 + x1 + x2 + x1*x2*.1))

loess_cal(y = dat$y, p = p, x = p, xp = NULL)

pmcalibration documentation built on Sept. 8, 2023, 5:10 p.m.