Returns a row of model summaries from a fitted model object. Glance returns the same number of columns for all models and estimation methods.
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 functionAIC
The AIC.AICc
The AICc.logLik
The log-likelihooddeviance
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)
#> # A tibble: 1 × 9
#> n p npar value AIC AICc logLik deviance pseudo.r.squared
#> <int> <dbl> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 45 2 3 54.2 60.2 60.8 -27.1 43.5 0.669