summary.gdlm: Produce a summary for a gradient descent generated linear...

In holub008/gdlm: Build linear models through gradient descent

Description

This summary will include model details, coefficient estimates, & bootstrapped SEs and bootstrap CIs if the gdlm was constructed with boostrapping enabled

Usage

## S3 method for class 'gdlm'
summary(object, ci_range = c(0.05, 0.95), ...)

Arguments

object	model to summarize
ci_range	a vector of the lower and upper bounds for empirical confidence intervals

Author(s)

kholub

Examples

m <- gdlm(Sepal.Width ~ Species * Petal.Width + Petal.Length, data = iris, loss = LS_LOSS())
summary(m)

holub008/gdlm documentation built on May 13, 2019, 6:14 p.m.