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Illustration: Returns to schoolinglibrary("modelsummary") m_list <- list(OLS = m_ols, IV = m_iv) msummary(m_list) -
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Examples

#> Bootstrap bca confidence intervals #> #> 2.5 % 97.5 % -#> (Intercept) 80.3477277 109.41536112 -#> P -0.4416532 -0.04313993 -#> D 0.1969264 0.40118932 +#> (Intercept) 70.0990854 107.67433667 +#> P -0.4315006 0.01060991 +#> D 0.1692311 0.39852428 car::outlierTest(kmenta.eq1) #> No Studentized residuals with Bonferroni p < 0.05 #> Largest |rstudent|: