Plot the treated and control outcome fits from a causal model

plot.causalmixgpd_causal_fit() is a convenience router to the underlying one-arm diagnostic plots for the treated and control fits.

Usage

# S3 method for class 'causalmixgpd_causal_fit'
plot(x, arm = "both", ...)

Arguments

x

A "causalmixgpd_causal_fit" object.

arm

Integer or character; 1 or "treated" for treatment, 0 or "control" for control.

...

Additional arguments forwarded to the underlying outcome plot method.

Value

The result of the underlying plot call (invisibly).

Details

Each arm-specific outcome model is itself a mixgpd_fit, so this method delegates to plot.mixgpd_fit() for the selected arm. With arm = "both", it returns a named list of treated and control diagnostics so the two fitted outcome models can be assessed side by side.

These are MCMC diagnostics for the nuisance outcome models, not plots of causal estimands. Use plot() on objects from predict.causalmixgpd_causal_fit(), qte(), or ate() when the goal is to visualize treatment effects rather than chain behavior.

See also

plot.mixgpd_fit, predict.causalmixgpd_causal_fit, ate, qte.