strokeCTdensity

Stroke data: clinical, radiological scalar variables and density curves of the hematoma of 393 stroke patients

Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.

Xi Liu

Wasserstein Regression and Inference

Chao Zhang

Matthew Coleman

Alexander Petersen

strokeCTdensity function

a list of the following three fields:<dl>
<dt>densityCurve:</dt>
<dd>393-by-101 head CT hematoma densities as distributional response</dd><dt>densitySupport:</dt>
<dd>length 101 common support vector</dd><dt>predictors:</dt>
<dd>393-by-9 matrix containing 9 scalar predictors</dd>
</dl>

Format

Stroke data: clinical, radiological scalar variables and density curves of the hematoma of 393 stroke patients — strokeCTdensity

a list of the following three fields:<dl>
<dt>densityCurve:</dt>
<dd>393-by-101 head CT hematoma densities as distributional response</dd>

<dt>densitySupport:</dt>
<dd>length 101 common support vector</dd>

<dt>predictors:</dt>
<dd>393-by-9 matrix containing 9 scalar predictors</dd>


</dl>

strokeCTdensity: Stroke data: clinical, radiological scalar variables and density curves of the hematoma of 393 stroke patients

Description

Arguments

Format

References