summary.internal_validate: Summarize a internal_validate object
| summary.internal_validate | R Documentation |
Summarize a internal_validate object
Description
Summarize a internal_validate object
Usage
## S3 method for class 'internal_validate'
summary(object, ignore_scores = "^cal_plot", ...)
Arguments
object |
created by call to |
ignore_scores |
a string used to identify scores to omit from summary.
|
... |
ignored |
Value
a data.frame with 4 columns (apparent score, optimism, bias-corrected score, number of successful resamples/folds)
and one row per score. Not all methods produce an optimism estimate so this row may be all NA. If confidence intervals
have been added for all measures via confint.internal_validate, two additional columns containing lower and upper bounds for
bias-corrected performance.
Examples
library(pminternal)
set.seed(456)
# simulate data with two predictors that interact
dat <- pmcalibration::sim_dat(N = 2000, a1 = -2, a3 = -.3)
mean(dat$y)
dat$LP <- NULL # remove linear predictor
# fit a (misspecified) logistic regression model
m1 <- glm(y ~ ., data=dat, family="binomial")
# internal validation of m1 via bootstrap optimism with 10 resamples
# B = 10 for example but should be >= 200 in practice
m1_iv <- validate(m1, method="boot_optimism", B=10)
summary(m1_iv)
