Functional Compositional Data Quadratic Method(FCQM)

By Fenguoerbian

July 31, 2020

LogisticFAR

This package implements the Functional Compositional data Quadratic Method(FCQM) algorithm proposed in the paper Biomarker Detection for Disease Classification in Longitudinal Microbiome Data. This is a logistic functional additive regression with log-contrast constrain.

Installation

You can use remotes to directly install the latest version from Github.

#install.packages("devtools")
remotes::install_github("fenguoerbian/LogisticFAR")

If you’ve installed devtools, then remotes should have already been installed.

Example

A toy example is to be added.

Name of this package

The package name LogisticFAR comes from the fact that this package brings the Functional Additive Regression idea to logistic regression (and compositional data).

Posted on:
July 31, 2020
Length:
1 minute read, 95 words
Tags:
R Compositional Data Variable Selection
See Also:
Evaluate BLRM using `BLRMeval`
Making Go/No-go decision in proof-of-concept trials
Parallel Computing in R, from parallel to foreach and future