PCQDA_result

DNE_PCQDA method is the principal component quadratic discriminant analysis (PCQDA) method using the Dirichlet Normal Energy (DNE).
This method involves 4 age groups.
The function automatically calculates the DNE on the auricular surface.
It provides the estimated age group and age range of the estimated age group.

The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the whole auricular surface and the apex of the auricular surface. It involves three estimation methods: principal component discriminant analysis (PCQDA), and principal component logistic regression analysis (PCLR) methods, principal component regression analysis with Southeast Asian (A_PCR), and principal component regression analysis with multipopulation (M_PCR). The package is created with the data from the Louis Lopes Collection in Lisbon, the 21st Century Identified Human Remains Collection in Coimbra, and the CAL Milano Cemetery Skeletal Collection in Milan, and  the skeletal collection at Khon Kaen University (KKU) Human Skeletal Research Centre (HSRC), housed in the Department of Anatomy in the Faculty of Medicine at KKU in Khon Kaen.

Jisun Jang

JSDNE

Estimating the Age using Auricular Surface by DNE

PCQDA_result function

<dl><dt>x</dt>
<dd>the name of inputted ply file of the whole auricular surface</dd>
<dt>y</dt>
<dd>the name of inputted ply file of the apex of the auricular surface</dd></dl>

Arguments

Estimating the age using DNE_PCQDA method — PCQDA_result

<dl>

<dt>x</dt>
<dd>the name of inputted ply file of the whole auricular surface</dd>


<dt>y</dt>
<dd>the name of inputted ply file of the apex of the auricular surface</dd>

</dl>

PCQDA_result: Estimating the age using DNE_PCQDA method

Description

Usage

Value

Arguments