plot.pmcalibration {pmcalibration} | R Documentation |
Plot a calibration curve (pmcalibration
object)
Description
This is for a quick and dirty calibration curve plot.
Alternatively you can use get_cc()
to get the data required to plot the calibration curve.
Usage
## S3 method for class 'pmcalibration'
plot(x, conf_level = 0.95, ...)
Arguments
x |
a |
conf_level |
width of the confidence interval (0.95 gives 95% CI). Ignored if call to |
... |
other args for |
Value
No return value, called for side effects
Examples
library(pmcalibration)
# simulate some data with a binary outcome
n <- 500
dat <- sim_dat(N = n, a1 = .5, a3 = .2)
head(dat)
# predictions
p <- with(dat, invlogit(.5 + x1 + x2 + x1*x2*.1))
# fit calibration curve
cal <- pmcalibration(y = dat$y, p = p, smooth = "gam", k = 20, ci = "pw")
plot(cal)
[Package pmcalibration version 0.1.0 Index]