model

<p>An already trained ML model (including trainData &amp; testData) with the "lm" method using
the default data from the package, to be used in the predict example, and potentially by the user
for further predictions.</p>

datasets

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

model function

<p>An object of class <code>list</code> of length 3.</p>

model: A trained model

Description

Usage

Arguments

Format