Summarize a plqr_result (experimental)

Summarize a plqr_result (experimental)

Usage

# S3 method for class 'plqr_result'
summary(object, level = 0.95, ...)

Arguments

object

A plqr_result object from plqr_dnn().

level

Confidence level.

...

Not used.

Value

An object of class summary.plqr_result.

Details

Coefficient-level standard errors and intervals require the direct PLQR sandwich (fit with density or density_col); the moment-level jackknife SE available on fits without a density input has no proven translation into a coefficient-level interval in this package's source theory — see markdown_notes/design/15_plqr_variance_estimation_rationale.md.

Lifecycle

Experimental. PLQR functionality is outside the CATE and regression workflow focus of the initial public release. Its API and inference interfaces may change in later releases.

See also

plqr_dnn().