PaplomatasP/LDLcalc: Calculate and Predict the Low Density Lipoprotein Values

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.

Getting started

Package details

AuthorPetros Paplomatas [aut, cre], Kostas Anagnostopoulos [aut]
MaintainerPetros Paplomatas <P.paplomatas@hotmail.com>
LicenseGPL-3
Version2.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PaplomatasP/LDLcalc")
PaplomatasP/LDLcalc documentation built on Jan. 20, 2025, 9:10 a.m.