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.

Version:	2.1
Depends:	R (≥ 3.5.0)
Imports:	data.table, caret, caretEnsemble, lares, corrplot, RColorBrewer, lattice, resample, moments, ggplot2, janitor, philentropy
Suggests:	rmarkdown, knitr, Cubist, earth, gbm, glmnet, gridExtra, kernlab, randomForest, tidyr, testthat (≥ 3.0.0)
Published:	2024-02-11
Author:	Petros Paplomatas [aut, cre], Kostas Anagnostopoulos [aut]
Maintainer:	Petros Paplomatas <P.paplomatas at hotmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	LDLcalc results

Documentation:

Reference manual:	LDLcalc.pdf
Vignettes:	Calculate And Predict LDL Variance calculation of LDL and AIP

Downloads:

Package source:	LDLcalc_2.1.tar.gz
Windows binaries:	r-devel: LDLcalc_2.1.zip, r-release: LDLcalc_2.1.zip, r-oldrel: LDLcalc_2.1.zip
macOS binaries:	r-release (arm64): LDLcalc_2.1.tgz, r-oldrel (arm64): LDLcalc_2.1.tgz, r-release (x86_64): LDLcalc_2.1.tgz, r-oldrel (x86_64): LDLcalc_2.1.tgz
Old sources:	LDLcalc archive

Linking:

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