boot_run: Bootstrapping Confidence Intervals with Tidyverse

In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback

Bootstrapping Confidence Intervals with Tidyverse

Description

Bootstrapping confidence intervals with tidyverse.

Usage

boot_run(data, func, times = 1000, alpha = 0.05, seed = NULL, ...)

Arguments

data	Dataframe of raw data.
func	Function applied to data by bootstrapping.
times	Number of bootstrap replicates. Default is 1000.
alpha	Alpha used by percentile to give interval in c(alpha, 1- alpha).
seed	Seed for random number generator. If NULL the seed itself is random.
...	Additional arguments used by func.

Details

Bootstrapping confidence intervals using the rsample package.

Value

Dataframe with term, .lower, .estimate, .upper, .alpha, .method.

Source

https://rsample.tidymodels.org/articles/Applications/Intervals.html

See Also

rsample::bootstraps rsample::int_pctl

FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.