reclassificationJS: Function for reclassification table and statistics

Modified function of PredictABEL::reclassification: return output table

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