pcoriaccel_NW

Runs an optimized implementation of the "NW" function.

internal

Sensitivity analysis for trials with irregular and informative
assessment times, based on a new influence function-based, augmented
inverse intensity-weighted estimator.

Andrew Redd

SensIAT

Sensitivity Analysis for Irregular Assessment Times

Yujing Gao

Shu Yang

Bonnie Smith

Agatha Mallett

Daniel Scharfstein

University of Utah 

pcoriaccel_NW function

<dl><dt>Xb</dt>
<dd>a vector (expected to be about 500 elements)</dd>
<dt>Y</dt>
<dd>a vector (same size as <code>Xb</code>)</dd>
<dt>xb</dt>
<dd>a vector</dd>
<dt>y_seq</dt>
<dd>a vector</dd>
<dt>h</dt>
<dd>a scalar, the bandwidth of kernel</dd>
<dt>kernel</dt>
<dd>a string, denoting the kernel function to use, either <code>"dnorm"</code>, <code>"K2_Biweight"</code>, or <code>"K4_Biweight"</code></dd></dl>

Arguments

Runs an optimized implementation of the "NW" function. — pcoriaccel_NW

<dl>

<dt>Xb</dt>
<dd>a vector (expected to be about 500 elements)</dd>


<dt>Y</dt>
<dd>a vector (same size as <code>Xb</code>)</dd>


<dt>xb</dt>
<dd>a vector</dd>


<dt>y_seq</dt>
<dd>a vector</dd>


<dt>h</dt>
<dd>a scalar, the bandwidth of kernel</dd>


<dt>kernel</dt>
<dd>a string, denoting the kernel function to use, either <code>"dnorm"</code>, <code>"K2_Biweight"</code>, or <code>"K4_Biweight"</code></dd>

</dl>

pcoriaccel_NW: Runs an optimized implementation of the "NW" function.

Description

Usage

Value

Arguments