CLI: Estimate¶

causal-toolkit estimate --config CONFIG.yaml --data DATA.csv [OPTIONS]

Options¶

Option	Short	Description
`--config`	`-c`	YAML config file
`--data`	`-d`	Input CSV
`--out`	`-o`	Output directory (default: `./results`)
`--treatment`	`-t`	Override treatment column
`--outcome`	`-y`	Override outcome column
`--confounders`		Override confounder columns
`--estimator`	`-e`	Estimator type (default: `linear_regression`)

Estimators¶

linear_regression, propensity_score_matching, propensity_score_weighting, propensity_score_stratification, doubly_robust, targeted_maximum_likelihood, causal_forest, double_ml, two_stage_ls, deepiv, orthoiv

Example¶

causal-toolkit estimate -c config.yaml -d data.csv -o results/

Output¶

Loading config from config.yaml...
Loading data from data.csv...
Treatment: treatment, Outcome: outcome, Confounders: ['age', 'income', 'education']
Identified estimand: ATE: E[E[Y|T=t, X] - E[Y|T=t', X]]
Estimate: 2.3456 [1.8923, 2.7989]
Refutation: placebo_treatment: NOT REJECTED (p=0.6234)
Refutation: random_common_cause: NOT REJECTED (p=0.4123)
Refutation: data_subset: NOT REJECTED (p=0.7845)
[green]Results saved to results/results.json[/green]