DeclareDesign (version 1.0.4)

tidy.diagnosis: Tidy diagnosis

Description

Tidy diagnosis

Usage

# S3 method for diagnosis
tidy(x, conf.int = TRUE, conf.level = 0.95, ...)

Value

A data.frame with columns for diagnosand names, estimated diagnosand values, bootstrapped standard errors and confidence intervals

Arguments

x

A diagnosis object generated by diagnose_design.

conf.int

Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to ‘TRUE’.

conf.level

The confidence level to use for the confidence interval if ‘conf.int = TRUE’. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

...

extra arguments (not used)

Examples

effect_size <- 0.1
design <-
  declare_model(
    N = 100,
    U = rnorm(N),
    X = rnorm(N),
    potential_outcomes(Y ~ effect_size * Z + X + U)
  ) +
  declare_inquiry(ATE = mean(Y_Z_1 - Y_Z_0)) +
  declare_assignment(Z = complete_ra(N)) +
  declare_measurement(Y = reveal_outcomes(Y ~ Z)) +
  declare_estimator(Y ~ Z, inquiry = "ATE", label = "unadjusted") + 
  declare_estimator(Y ~ Z + X, inquiry = "ATE", label = "adjusted")

diagnosis <- diagnose_design(design, sims = 100)

tidy(diagnosis)