tidy.sclr

An object returned by <code><a rd-options="" href="/link/sclr?package=sclr&version=0.1.0" data-mini-rdoc="sclr::sclr">sclr</a></code>.

Confidence level for the intervals.

ci_level

Not used. Needed to match generic signature.

Summarises the objects returned by <code><a rd-options="" href="/link/sclr?package=sclr&version=0.1.0" data-mini-rdoc="sclr::sclr">sclr</a></code> 
into a <code><a rd-options="tibble" href="/link/tibble?package=sclr&version=0.1.0&to=tibble" data-mini-rdoc="tibble::tibble">tibble</a></code>.

Maximum likelihood estimation of the scaled logit model parameters
proposed in Dunning (2006) <doi:10.1002/sim.2282>.

Arseniy Khvorov

sclr

Scaled Logistic Regression

tidy.sclr function

An object returned by <code><a rd-options='' href='sclr'>sclr</a></code>.

Summarises the objects returned by <code><a rd-options='' href='sclr'>sclr</a></code> 
into a <code><a rd-options='tibble' href='tibble'>tibble</a></code>.

tidy.sclr: Tidy a `sclr` object.

Description

Usage

Arguments

Value