boot: Bootstrap Confidence Intervals via Resampling

In mlf: Machine Learning Foundations

Description

Provides nonparametric confidence intervals via percentile-based resampling for given mlf function.

Usage

boot(x, y, func, reps, conf.int)

Arguments

x, y	numeric vectors of data values
func	specify mlf function
reps	(optional) number of resamples. Defaults to 500
conf.int	(optional) numeric value indicating level of confidence. Defaults to 0.90.

Examples

# Sample data
a <- rnorm(25, 80, 35)
b <- rnorm(25, 100, 50)

mlf::mic(a, b)
mlf::boot(a, b, mic)

mlf documentation built on May 1, 2019, 10:34 p.m.