Other packages > Find by keyword >

CompositionalML  

Machine Learning with Compositional Data
View on CRAN: Click here


Download and install CompositionalML package within the R console
Install from CRAN:
install.packages("CompositionalML")

Install from Github:
library("remotes")
install_github("cran/CompositionalML")

Install by package version:
library("remotes")
install_version("CompositionalML", "1.0")



Attach the package and use:
library("CompositionalML")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
First Published: 2024-03-14
Latest Update: 2024-03-14
Description:
Machine learning algorithms for predictor variables that are compositional data and the response variable is either continuous or categorical. Specifically, the Boruta variable selection algorithm, random forest, support vector machines and projection pursuit regression are included. Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. and Alenazi, A. (2023). "A review of compositional data analysis and recent advances". Communications in Statistics--Theory and Methods, 52(16): 5535--5567. .
How to cite:
Michail Tsagris (2024). CompositionalML: Machine Learning with Compositional Data. R package version 1.0, https://cran.r-project.org/web/packages/CompositionalML. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited CompositionalML R package
View CompositionalML citation profile
Other R packages that CompositionalML depends, imports, suggests or enhances
Complete documentation for CompositionalML
Functions, R codes and Examples using the CompositionalML R package
Full CompositionalML package functions and examples
Downloads during the last 30 days
03/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/04Downloads for CompositionalML12345678910111213TrendBars

Today's Hot Picks in Authors and Packages

spCP  
Spatially Varying Change Points
Implements a spatially varying change point model with unique intercepts, slopes, variance intercep ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
FuzzyQ  
Fuzzy Quantification of Common and Rare Species
Fuzzy clustering of species in an ecological community as common or rare based on their abundance a ...
Download / Learn more Package Citations See dependency  
listarrays  
A Toolbox for Working with R Arrays in a Functional Programming Style
A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays. ...
Download / Learn more Package Citations See dependency  
ider  
Various Methods for Estimating Intrinsic Dimension
An implementation of various methods for estimating intrinsic dimension of vector-valued dataset or ...
Download / Learn more Package Citations See dependency  
danstat  
R Client for the Statistics Denmark Databank API
The purpose of the package is to enable an R function interface into the Statistics Denmark Databank ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA