vcov.SSN2: Calculate variance-covariance matrix for a fitted model...

In SSN2: Spatial Modeling on Stream Networks

Calculate variance-covariance matrix for a fitted model object

Description

Calculate variance-covariance matrix for a fitted model object.

Usage

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

## S3 method for class 'ssn_glm'
vcov(object, var_correct = TRUE, ...)

Arguments

object	A fitted model object from ssn_lm() or ssn_glm().
...	Other arguments. Not used (needed for generic consistency).
var_correct	A logical indicating whether to return the corrected variance-covariance matrix for models fit using ssn_glm() (when family is different from "Gaussian"). The default is TRUE.

Value

The variance-covariance matrix of coefficients obtained via coef(). Currently, only the variance-covariance matrix of the fixed effects is supported.

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"
)
vcov(ssn_mod)

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