estimate_diagnostic: Function to calculate diagnostics based on model outputs
In tidyhte: Tidy Estimation of Heterogeneous Treatment Effects

estimate_diagnostic

R Documentation

Function to calculate diagnostics based on model outputs

Description

This function defines the calculations of common model diagnostics which are available.

Usage

estimate_diagnostic(data, label, prediction, diag_name, params)

Arguments

`data`	The full data frame with all auxilliary columns.
`label`	The (string) column name for the labels to evaluate against.
`prediction`	The (string) column name of predictions from the model to diagnose.
`diag_name`	The (string) name of the diagnostic to calculate. Currently available are "AUC", "MSE", "SL_coefs", "SL_risk", "RROC"
`params`	Any other necessary options to pass to the given diagnostic.

Examples

df <- dplyr::tibble(y = rbinom(100, 1, 0.5), p = rep(0.5, 100), w = rexp(100), u = 1:100)
attr(df, "weights") <- "w"
attr(df, "identifier") <- "u"
estimate_diagnostic(df, "y", "p", "AUC")

tidyhte documentation built on Aug. 14, 2023, 5:08 p.m.