monotonicity_test

Runs the test of monotonicity for a regression function.

internal

Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2025 (under review). A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateParadoxTest.html>.

Emily Hsiao

SurrogateParadoxTest

Empirical Testing of Surrogate Paradox Assumptions

monotonicity_test function

<dl> <dt>X</dt>
<dd>Vector of X values.</dd> <dt>Y</dt>
<dd>Vector of Y values.</dd> <dt>h</dt>
<dd>Bandwidth for the kernel smoother.</dd> <dt>m</dt>
<dd>Window size to calculate linear regression.</dd> <dt>bootstrap_n</dt>
<dd>Desired number of bootstrap samples.</dd> <dt>alpha</dt>
<dd>Desired alpha level of the test.</dd>
</dl>

Arguments

Author

Monotonicity test — monotonicity_test

<dl>

 <dt>X</dt>
<dd>Vector of X values.</dd>

 <dt>Y</dt>
<dd>Vector of Y values.</dd>

 <dt>h</dt>
<dd>Bandwidth for the kernel smoother.</dd>

 <dt>m</dt>
<dd>Window size to calculate linear regression.</dd>

 <dt>bootstrap_n</dt>
<dd>Desired number of bootstrap samples.</dd>

 <dt>alpha</dt>
<dd>Desired alpha level of the test.</dd>


</dl>

monotonicity_test: Monotonicity test

Description

Usage

Value

Arguments

Author

References