summary.smoothic: Summarising Smooth Information Criterion (SIC) Fits

In smoothic: Variable Selection Using a Smooth Information Criterion

Summarising Smooth Information Criterion (SIC) Fits

Description

summary method class “smoothic”

Usage

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

Arguments

object	an object of class “smoothic” which is the result of a call to smoothic.
...	further arguments passed to or from other methods.

Value

A list containing the following components:

• model - the matched model from the smoothic object.

• coefmat - a typical coefficient matrix whose columns are the estimated regression coefficients, estimated standard errors (SEE) and p-values.

• plike - value of the penalized likelihood function.

Author(s)

Meadhbh O'Neill

Examples

# Sniffer Data --------------------
# MPR Model ----
results <- smoothic(
  formula = y ~ .,
  data = sniffer,
  family = "normal",
  model = "mpr"
)
summary(results)

smoothic documentation built on Aug. 22, 2023, 5:07 p.m.