Summarize a fitted model object

Summarize a fitted model object.

# S3 method for ssn_lm
summary(object, ...)

# S3 method for ssn_glm
summary(object, ...)

Arguments

object

A fitted model object from ssn_lm() or ssn_glm().

...

Other arguments. Not used (needed for generic consistency).

Value

A list with several fitted model quantities used to create informative summaries when printing.

Details

summary.ssn() creates a summary of a fitted model object intended to be printed using print(). This summary contains useful information like the original function call, residuals, a coefficients table, a pseudo r-squared, and estimated covariance parameters.

See also

print.SSN2

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"
)
summary(ssn_mod)
#> 
#> Call:
#> ssn_lm(formula = Summer_mn ~ ELEV_DEM, ssn.object = mf04p, tailup_type = "exponential", 
#>     additive = "afvArea")
#> 
#> Residuals:
#>     Min      1Q  Median      3Q     Max 
#> -2.6986 -1.4031  0.2287  0.6796  2.2456 
#> 
#> Coefficients (fixed):
#>              Estimate Std. Error z value Pr(>|z|)    
#> (Intercept) 80.857837   8.814114   9.174  < 2e-16 ***
#> ELEV_DEM    -0.034124   0.004376  -7.797 6.22e-15 ***
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Pseudo R-squared: 0.5855
#> 
#> Coefficients (covariance):
#>               Effect     Parameter   Estimate
#>   tailup exponential  de (parsill)  1.390e+00
#>   tailup exponential         range  1.306e+05
#>               nugget        nugget  5.415e-02
#>