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Summary for tobs_fit, with skewness column when simplified Laplace is used

Source: R/methods.R
summary.tobs_fit.Rd

Extends summary.tulpa_fit with an extra skew column populated from object$skew when the fit was produced with an SLA method (method = "laplace_sla" / "nested_laplace_sla"). All quantile / mean / sd columns come from object$draws, which under simplified Laplace are skew-normal samples – so 2.5%/97.5% quantiles are already SLA-corrected.

Usage

# S3 method for class 'tobs_fit'
summary(object, ...)

Arguments

object

A tobs_fit object.

...

Forwarded to summary.tulpa_fit.

Value

Data frame as for summary.tulpa_fit, one row per coefficient named <arm>_<term> as coef.tobs_fit() names it, with columns estimate, std.error and the two interval bounds, plus a skew column when $skew is present and rhat, ess_bulk, ess_tail on a sampled fit. Every family, and every method within a family, returns this layout.