LDLErrPrp

Function to calculate the LDL Variance according to error propagation (delta) method.

A wide variety of ways to calculate (through equations) or predict (using 9 Machine learning methods as well as a stack algorithm combination of them all) the Low Density Lipoprotein values of patients based on the values of three other metrics, namely Total Cholesterol , Triglycerides and High Density Lipoprotein. It can also calculate the variance of LDL and the Atherogenic Index of Plasma (AIP) using error propagation and bootstrapping.

Petros Paplomatas

LDLcalc

Calculate and Predict the Low Density Lipoprotein Values

Kostas Anagnostopoulos

LDLErrPrp function

<dl><dt>CHOL</dt>
<dd>A vector containing the cholesterol values to be used for LDL calculation.</dd>
<dt>HDL</dt>
<dd>A vector containing the HDL values to be used for LDL calculation.</dd>
<dt>TG</dt>
<dd>A vector containing the triglyceride values to be used for LDL calculation.</dd>
<dt>divFactor</dt>
<dd>The factor by which to divide the triglyceride values
so as to approximate the VLDL. Default is 5, according to the Friedewald
equation.</dd></dl>

Arguments

Calculate LDL variance using error propagation — LDLErrPrp

<dl>

<dt>CHOL</dt>
<dd>A vector containing the cholesterol values to be used for LDL calculation.</dd>


<dt>HDL</dt>
<dd>A vector containing the HDL values to be used for LDL calculation.</dd>


<dt>TG</dt>
<dd>A vector containing the triglyceride values to be used for LDL calculation.</dd>


<dt>divFactor</dt>
<dd>The factor by which to divide the triglyceride values
so as to approximate the VLDL. Default is 5, according to the Friedewald
equation.</dd>

</dl>

LDLErrPrp: Calculate LDL variance using error propagation

Description

Usage

Value

Arguments

References

Examples