Tidy a fitted model object into a summarized tibble.
Arguments
- x
- conf.int
Logical indicating whether or not to include a confidence interval in the tidied output. The default is
FALSE
.- conf.level
The confidence level to use for the confidence interval if
conf.int
isTRUE
. Must be strictly greater than 0 and less than 1. The default is 0.95, which corresponds to a 95 percent confidence interval.- effects
The type of effects to tidy. Available options are
"fixed"
(fixed effects),"tailup"
(tailup covariance parameters),"taildown"
(taildown covariance parameters),"euclid"
(Euclidean covariance parameters),"nugget"
(nugget covariance parameter),"dispersion"
(dispersion parameter if relevant),"ssn"
for all of"tailup"
,"taildown"
,"euclid"
,"nugget"
, and"dispersion"
, and"randcov"
(random effect variances). The default is"fixed"
.- ...
Other arguments. Not used (needed for generic consistency).
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"
)
tidy(ssn_mod)
#> # A tibble: 2 × 5
#> term estimate std.error statistic p.value
#> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 (Intercept) 80.9 8.81 9.17 0
#> 2 ELEV_DEM -0.0341 0.00438 -7.80 6.22e-15