rbenttest {Rbent} | R Documentation |
This function use Wilcoxon score functions for calculating the test statistics and p-value by wild bootstrap.
rbenttest(y, z, x, NB = 1000, myseed = 1)
y |
A vector of response |
z |
A vector of covariates |
x |
A numeric variable with change point |
NB |
resampling times |
myseed |
set seed |
A list with the elements
Tn |
The statistic based on original data. |
Tn.NB |
The statistics by wild bootstrap. |
p.value |
The p-value by wild bootstrap. |
Feipeng Zhang
# for the example of MRS data data(data_mrs) x <- log(data_mrs$mass) y <- log(data_mrs$speed) z <- data_mrs$hopper p.value <- rbenttest(y, cbind(1, z), x, NB = 50)$p.value # for the example of bedload transport data data(data_transport) x <- data_transport$x y <- data_transport$y p.value <- rbenttest(y, 1, x, NB = 50)$p.value