chebyshev

Function to calculate lower and upper bounds for which at least 75% of data
points of a distribution lie within ±2SD of the mean using Chebyshev's inequality.

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

chebyshev function

<dl><dt>vec</dt>
<dd>The vector containing the values of the data set.</dd></dl>

Arguments

Chebysev's inequality — chebyshev

<dl>

<dt>vec</dt>
<dd>The vector containing the values of the data set.</dd>

</dl>

chebyshev: Chebysev's inequality

Description

Usage

Value

Arguments

References

Examples