bootstrapping: Bootstrap function

In MathurinD/extractlxb: lxb extraction functions

Description

Converging boostrap, with a minimum number of run to ensure some initial variation

Usage

bootstrapping(values, func = median, error = 0.05, min_run = 100,
  max_run = 1000 * 1000, EPS = 0.001)

Arguments

func	Function to use to aggregate the data
error	Error rate of the confidence interval to report
min_run	Minimum number of bootstrap steps to take
max_run	Maximum number of bootstrap steps to take
ESP	Convergence limit

Value

a vector or length 3 with the mean, and the 'error' confidence interval of this mean. 5% by default (0.025 percentile on each side)

MathurinD/extractlxb documentation built on Feb. 25, 2020, 8:41 p.m.