monotonicity_test {SurrogateParadoxTest}R Documentation

Monotonicity test

Description

Runs the test of monotonicity for a regression function.

Usage

monotonicity_test(X, Y, h = NA, m = 5, bootstrap_n = 100, 
alpha = 0.05)

Arguments

X

Vector of X values.

Y

Vector of Y values.

h

Bandwidth for the kernel smoother.

m

Window size to calculate linear regression.

bootstrap_n

Desired number of bootstrap samples.

alpha

Desired alpha level of the test.

Value

T_m_value

Value of the test statistic.

p_val

p-value of test

reject

whether the test rejects the null

T_m_samples

Vector of bootstrapped values of test statistic

Author(s)

Emily Hsiao

References

Hall, Peter, and Nancy E. Heckman. "Testing for monotonicity of a regression mean by calibrating for linear functions." Annals of Statistics (2000): 20-39.


[Package SurrogateParadoxTest version 2.0 Index]