glances.SSN2: Glance at many fitted model objects

In SSN2: Spatial Modeling on Stream Networks

Glance at many fitted model objects

Description

glances() repeatedly calls glance() on several fitted model objects and binds the output together, sorted by a column of interest.

Usage

## S3 method for class 'ssn_lm'
glances(object, ..., sort_by = "AICc", decreasing = FALSE)

## S3 method for class 'ssn_glm'
glances(object, ..., sort_by = "AICc", decreasing = FALSE)

Arguments

object	Fitted model object from ssn_lm() or ssn_glm().
...	Additional fitted model objects from ssn_lm() or ssn_glm().
sort_by	Sort by a glance statistic (i.e., the name of a column output from glance() or the order of model input (sort_by = "order"). The default is "AICc".
decreasing	Should sort_by be decreasing or not? The default is FALSE.

Value

A tibble where each row represents the output of glance() for each fitted model object.

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)

# tailup only
ssn_mod1 <- ssn_lm(
  formula = Summer_mn ~ ELEV_DEM,
  ssn.object = mf04p,
  tailup_type = "exponential",
  additive = "afvArea"
)
# taildown only
ssn_mod2 <- ssn_lm(
  formula = Summer_mn ~ ELEV_DEM,
  ssn.object = mf04p,
  taildown_type = "exponential"
)
glances(ssn_mod1, ssn_mod2)

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