Ajusta GLM binomial com saida tidy.
Value
lista:
coeficientes: tibble.modelo: tibble com aic, deviance_residual, nobs, null_deviance, residual_deviance.
Examples
rnp_logistic(am ~ mpg + wt, mtcars)
#>
#> ── Regressao logistica ─────────────────────────────────────────────────────────
#>
#> ── Coeficientes
#> # A tibble: 3 × 8
#> termo estimativa erro_padrao estatistica_z p_valor odds_ratio ic_inf ic_sup
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 (Inte… 25.9 12.2 2.12 0.0338 1.75e+11 7.30 4.18e+21
#> 2 mpg -0.324 0.240 -1.35 0.176 7.23e- 1 0.452 1.16e+ 0
#> 3 wt -6.42 2.55 -2.52 0.0118 1.6 e- 3 0 2.40e- 1
#>
#> ── Modelo
#> # A tibble: 1 × 5
#> aic null_deviance residual_deviance nobs df_residuos
#> <dbl> <dbl> <dbl> <int> <int>
#> 1 23.2 43.2 17.2 32 29