tidy.std_custom: Provide tidy output from a std_custom object for use in...

In stdReg2: Regression Standardization for Causal Inference

Provide tidy output from a std_custom object for use in downstream computations

Description

Tidy summarizes information about the components of the standardized regression fit.

Usage

## S3 method for class 'std_custom'
tidy(x, ...)

Arguments

x	An object of class std_custom
...	Not currently used

Value

A data.frame

Examples

set.seed(6)
n <- 100
Z <- rnorm(n)
X <- rnorm(n, mean = Z)
Y <- rbinom(n, 1, prob = (1 + exp(X + Z))^(-1))
dd <- data.frame(Z, X, Y)
prob_predict.glm <- function(...) predict.glm(..., type = "response")

x <- standardize(
  fitter = "glm",
  arguments = list(
    formula = Y ~ X * Z,
    family = "binomial"
  ),
  predict_fun = prob_predict.glm,
  data = dd,
  values = list(X = seq(-1, 1, 0.1)),
  B = 100,
  reference = 0,
  contrasts = "difference"
)
tidy(x)

stdReg2 documentation built on April 13, 2025, 5:12 p.m.