permute_p_value {mikropml}

Calculated a permuted p-value comparing two models

Description

Calculated a permuted p-value comparing two models

Usage

permute_p_value(
  merged_data,
  metric,
  group_name,
  group_1,
  group_2,
  nperm = 10000
)

Arguments

merged_data

the concatenated performance data from run_ml

metric

metric to compare, must be numeric

group_name

column with group variables to compare

group_1

name of one group to compare

group_2

name of other group to compare

nperm

number of permutations, default=10000

Value

numeric p-value comparing two models

Author(s)

Begüm Topçuoğlu, [e-mail]

Courtney R Armour, [e-mail]

Examples

df <- dplyr::tibble(
  model = c("rf", "rf", "glmnet", "glmnet", "svmRadial", "svmRadial"),
  AUC = c(.2, 0.3, 0.8, 0.9, 0.85, 0.95)
)
set.seed(123)
permute_p_value(df, "AUC", "model", "rf", "glmnet", nperm = 100)