bootr: Run a bootstrap
In jacobaro/bootr: Utility Functions for Bootstrap

Description Usage Arguments Examples

This function is a wrapper for "boot" that runs a model and produces relevant outputs.

1
2
3

bootr(numruns = 1000, model = lm, formula, weights = NULL,
  formula_match = NULL, cem_cutpoints = NULL, data, predictions = NULL,
  omit = NULL, unscale = NULL, ...)

`numruns`	The number of iterations.
`model`	The statistical model (defaults to "lm").
`formula`	The formula to use for the model.
`weights`	Optional list of weights to use (if a matching formula is also present that will take precedence).
`formula_match`	An optional matching formula (defaults to "NULL"). The first variable in the formual is used as the treatment.
`cem_cutpoints`	An optional list of cutpoints for variables in the matching formula.
`data`	The dataframe that contains all variables in 'formula' and 'formula_match'.
`predictions`	A list with two dataframes (defaults to "NULL"): "predictions" contains a set of values to produce predictions for; "contrasts" contains a list of vectors or lists that for which contrasts should be produced.
`omit`	A string that contains the partial name of all variables to exclude from being returned (they will still be in the model).
`unscale`	An optional function to unscale predictions.