   875.9 
## Residual Deviance: 675.9     AIC: 679.9
## 
## $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 = FALSE))
## 
## Coefficients:
##          (Intercept)    I(time_since_eddi)  I(time_since_eddi^2)  
##            2.554e+00            -1.591e-02             2.18