  &lt;dbl&gt;   &lt;dbl&gt;   &lt;dbl&gt;   &lt;dbl&gt;    &lt;dbl&gt;      &lt;dbl&gt;          &lt;dbl&gt;
## 1 logit_cubic 259.223 230.240 288.328 14.8080      270        295            644
## 
## $Models
## $Models$logit_cubic
## 
## Call:  glm2::glm2(formula = recency_status ~ 1 + I(time_since_eddi) + 
##     I(time_since_eddi^2) + I(time_since_eddi^3), family = stats::binomial(link = "logit"), 
##     data = data, control = stats::glm.control(epsilon = tolerance, 
##         maxit = maxit, trace = FAL