tidy.sclr: Tidy a 'sclr' object.

In khvorov45/dunmle: Scaled Logistic Regression

Description

Summarises the objects returned by sclr into a tibble.

Usage

## S3 method for class 'sclr'
tidy(x, ci_level = 0.95, ...)

Arguments

x	An object returned by sclr.
ci_level	Confidence level for the intervals.
...	Not used. Needed to match generic signature.

Value

A tibble with one row per model parameter. Columns:

term	Name of model parameter.
estimate	Point estimate.
std_error	Standard error.
conf_low	Lower bound of the confidence interval.
conf_high	Upper bound of the confidence interval.

khvorov45/dunmle documentation built on March 4, 2020, 7:16 p.m.