blb.coef.ci: Bag of Little Bootstrap Confidence Interval for Linear...

In nguyenbi724/blbLM: blbLinReg

Description

blb.ceof.ci is used to calculate the bag of little bootstrap confidence interval for the linear model

Usage

blb.coef.ci(data, y, x, m, r = 50, alpha = 0.05, parallel = FALSE, n_cores = 4)

Arguments

data	a dataframe or tibble object
y	the name of the response variable
x	the name of the indepedent variables
m	the number of group to split
r	the number of iteration for each boot
alpha	the significance level
parallel	parallel compute the confidence interval
n_cores	the number of processor to work on each task

Value

returns a matrix of the bootstrap ci

Examples

blb.coef.ci(iris, "Sepal.Length",  "Petal.Width", 10, 15, 0.05)
blb.coef.ci(iris, "Sepal.Length", c("Sepal.Width", "Petal.Width"), 10, 15, 0.05)

nguyenbi724/blbLM documentation built on March 23, 2020, 5:27 a.m.