reclassificationJS: Function for reclassification table and statistics

Modified function of PredictABEL::reclassification: return output table

Usage

reclassificationJS(
  data,
  cOutcome,
  predrisk1,
  predrisk2,
  cutoff,
  dec.value = 3,
  dec.p = 3
)

Arguments

data

Data frame or matrix that includes the outcome and predictors variables.

cOutcome

Column number of the outcome variable.

predrisk1

Vector of predicted risks of all individuals using initial model.

predrisk2

Vector of predicted risks of all individuals using updated model.

cutoff

Cutoff values for risk categories. Define the cut-off values. Ex: c(0,.20,.30,1)

dec.value

digits of value, Default: 4

dec.p

digits of p, Default: 3

Value

Table including NRI(categorical), NRI(continuous), IDI with 95

Details

Modified function of PredictABEL::reclassification

See also

rcorrp.cens

Examples

m1 <- glm(vs ~ am + gear, data = mtcars, family = binomial)
m2 <- glm(vs ~ am + gear + wt, data = mtcars, family = binomial)
reclassificationJS(
  data = mtcars, cOutcome = 8,
  predrisk1 = predict(m1, type = "response"),
  predrisk2 = predict(m2, type = "response"), cutoff = c(0, .20, .40, 1)
)
#>                  value      95% CI       p
#> NRI(Categorical) 0.754 0.341-1.167 < 0.001
#> NRI(Continuous)  1.413 0.943-1.882 < 0.001
#> IDI              0.532 0.356-0.709 < 0.001