deviance.SSN2: Fitted model deviance

In SSN2: Spatial Modeling on Stream Networks

Fitted model deviance

Description

Returns the deviance of a fitted model object.

Usage

## S3 method for class 'ssn_lm'
deviance(object, ...)

## S3 method for class 'ssn_glm'
deviance(object, ...)

Arguments

object	A fitted model object from ssn_lm() or ssn_glm().
...	Other arguments. Not used (needed for generic consistency).

Details

The deviance is twice the difference in log-likelihoods between the saturated (perfect-fit) model and the fitted model.

Value

The deviance.

Examples

# Copy the mf04p .ssn data to a local directory and read it into R
# When modeling with your .ssn object, you will load it using the relevant
# path to the .ssn data on your machine
copy_lsn_to_temp()
temp_path <- paste0(tempdir(), "/MiddleFork04.ssn")
mf04p <- ssn_import(temp_path, overwrite = TRUE)

ssn_mod <- ssn_glm(
  formula = Summer_mn ~ ELEV_DEM,
  ssn.object = mf04p,
  family = "Gamma",
  tailup_type = "exponential",
  additive = "afvArea"
)
deviance(ssn_mod)

SSN2 documentation built on May 29, 2024, 4:41 a.m.