Description Usage Arguments Value References

Not typically called by the user directly; called indirectly via other functions. Uses `glmnet`

to fit a ridge regression with penalty chosen by cross-validation. Returns fitted values for the data in `to_predict`

.

1 |

`data` |
Data frame containing the observed data |

`model_formula` |
A model formula object for the ridge regression to be fitted |

`to_predict` |
Data frame containing observations for which predictions are to be made. If NULL, defaults to the same as |

A list containing a `glmnet`

model object `fit`

and a vector `fitted`

of fitted values for observations in `to_predict`

.

Lundberg I (2021). "The gap-closing estimand: A causal approach to study interventions that close disparities across social categories." Sociological Methods and Research. Available at https://osf.io/gx4y3/.

Friedman J, Hastie T, Tibshirani R (2010). "Regularization Paths for Generalized Linear Models via Coordinate Descent." Journal of Statistical Software, 33(1), 1–22. https://www.jstatsoft.org/htaccess.php?volume=33&type=i&issue=01.

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