blb.pred.ci: Bag of Little Bootstrap Confidence Interval for Prediction...

In nguyenbi724/blbLM: blbLinReg

Description

Bag of Little Bootstrap Confidence Interval for Prediction (Linear Model)

Usage

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

Arguments

data	a dataframe or tibble object
pred_df	a dataframe or tibble object with corresponding names for indepedent variables
y	the name of the response variable
x	the name(s) 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

pred_df <- dplyr::tibble(Sepal.Length = c(1,2,3,4,5), Sepal.Width = c(1,2,3,4,5))
blb.pred.ci(iris, pred_df, "Petal.Width", c("Sepal.Length", "Sepal.Width"), 10, 15, 0.05)

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