combines model(s) into a single coefficients table. Uses tidy_es() and adds extra columns of extra model attributes
See also
Other model summary helpers:
get_lm_multicollinearity(),
models2omni(),
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')
models2coefs(m1)
#> m another_key lh op rh b se t
#> 1 1 another_value salary ~ (Intercept) 91718.6854 2765.7923 33.161813
#> 2 1 another_value salary ~ yrs.since.phd 985.3421 107.3651 9.177488
#> p r_sq_adj b_ci_ll b_ci_ul r_sq_adj_ci_ll r_sq_adj_ci_ul
#> 1 3.332606e-116 0.7350649 86281.1714 97156.199 0.7026265 1
#> 2 2.495042e-18 0.1736680 774.2636 1196.421 0.1210838 1