glance.SSN2: Glance at a fitted model object

In SSN2: Spatial Modeling on Stream Networks

Glance at a fitted model object

Description

Returns a row of model summaries from a fitted model object. Glance returns the same number of columns for all models and estimation methods.

Usage

## S3 method for class 'ssn_lm'
glance(x, ...)

## S3 method for class 'ssn_glm'
glance(x, ...)

Arguments

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

Value

A single-row tibble with columns

• n The sample size.

• p The number of fixed effects.

• npar The number of estimated covariance parameters.

• value The optimized value of the fitting function

• AIC The AIC.

• AICc The AICc.

• logLik The log-likelihood

• deviance The deviance.

• pseudo.r.squared The pseudo r-squared

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_lm(
  formula = Summer_mn ~ ELEV_DEM,
  ssn.object = mf04p,
  tailup_type = "exponential",
  additive = "afvArea"
)
glance(ssn_mod)

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