coef.glmpathcr: Extract All Model Coefficients

In kelliejarcher/glmpathcr: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response

Extract All Model Coefficients

Description

The coef.glmpathcr function returns all estimated coefficients for a glmpathcr fitted model, where the model selected is indicated by step s.

Usage

## S3 method for class 'glmpathcr'
coef(object, s, weight = NULL, eps = .Machine$double.eps, ...)

Arguments

object	a glmpathcr object
s	the step at which the coefficient estimates are desired
weight	weights, if any
eps	effective zero
...	additional arguments

Value

A vector of estimated coefficients is returned. The coef.glmpathcr function returns all estimated coefficients for a glmpathcr fitted model, where the model selected is indicated by step s.

Author(s)

Kellie J. Archer, [e-mail]

See Also

See also as glmpathcr, nonzero.coef

Examples

data(diabetes)
x <- diabetes[, 2:dim(diabetes)[2]]
y <- diabetes$y
fit <- glmpathcr(x, y)
step <- model.select(fit, which="BIC")
## Not run: coef(fit, s = step)

kelliejarcher/glmpathcr documentation built on April 26, 2022, 5:59 p.m.