pcoriaccel_NW_basic

Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a
proof-of-concept.

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_basic 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></dl>

Arguments

Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a
proof-of-concept. — pcoriaccel_NW_basic

<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>

</dl>

pcoriaccel_NW_basic: Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a proof-of-concept.

Description

Usage

Value

Arguments