model(s) into a single omnibus table. Uses broom::glance() and adds extra columns of extra model attributes
See also
Other model summary helpers:
get_lm_multicollinearity(),
models2coefs(),
r_sq_to_adj_r_sq(),
renamed_tidy(),
tidy_es(),
tidy_es_lm(),
tidy_es_lmer()
Examples
m1 <- lm(salary ~ yrs.since.phd, carData::Salaries)
attr(m1, 'extra_info') <- list(m = 1, another_key = 'another_value')
models2omni(m1)
#> m another_key r.squared adj.r.squared sigma statistic p.value df
#> 1 1 another_value 0.1757547 0.173668 27533.59 84.22628 2.495042e-18 1
#> logLik AIC BIC deviance df.residual nobs
#> 1 -4620.911 9247.823 9259.774 299448839521 395 397