generate.confidence.intervals: Confidence interval function
In janejkanske/SupaLarna: Package for the SuperLearner vs clincians study

This function generates confidence intervals around difference of two given point estimates using empirical bootstrapping.

1 2	generate.confidence.intervals(study_sample, model_or_pointestimate, func, samples, diffci_or_ci, outcome_name)

`study_sample`	The study sample list. No default.
`model_or_pointestimate`	Character vector describing predictions or point estimates to analyse. For example, pred_cat and clinicians_predictions predictions for model.review.AUROCC or NRI+ and NRI- point estimates for model.review.reclassification. No default.
`func`	Function that generates key statistic. For example, model.review.AUROCC that generates AUROCC of a given model, or model.review.reclassification that generates reclassification elements. No default.
`samples`	Samples as prepared with train.predict.bssamples. No default.
`diffci_or_ci`	String. Whether to return confidence interval on difference of model_or_pointestimates, or return confidence intervals on model_or_pointestimates separately or no confidence intervals. Must be one of c("diff", "ci", "none")
`outcome_name`	Name of outcome variable. No default.