Specification curve analysis — specification

Estimates the treatment effect across many reasonable model specifications to assess robustness. Combines covariate sets x sample filters x model families. Cross-references specr (specr::specr) as the canonical modern implementation with built-in plotting; use specr directly when you want the published specification-curve plot.

Usage

specification_curve(
  data,
  outcome,
  treatment,
  covariate_sets,
  sample_filters = NULL,
  model_types = NULL,
  alpha = 0.05
)

Arguments

data: Analysis data.frame.
outcome: Outcome variable name.
treatment: Treatment variable name.
covariate_sets: List of character vectors (one per spec).
sample_filters: Optional. Accepted shapes (for Python<->R parity): (a) list(list(name = "...", fn = function(df) ...), ...) (R native), (b) list(c("name", fn), ...) or list(list("name", fn), ...) (Python list[tuple[str, callable]] shape — positional pair). Default: full sample only.
model_types: Character vector of model families: "ols", "logistic", "robust". Default c("ols").
alpha: Significance level. Default 0.05.

Value

A morie_spec_curve named-list.