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pheble  

Classifying High-Dimensional Phenotypes with Ensemble Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pheble", "0.1.0")



Attach the package and use:
library("pheble")
Maintained by
Jay Devine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-17
Latest Update:
Description:
A system for binary and multi-class classification of high-dimensional phenotypic data using ensemble learning. By combining predictions from different classification models, this package attempts to improve performance over individual learners. The pre-processing, training, validation, and testing are performed end-to-end to minimize user input and simplify the process of classification.
How to cite:
Jay Devine (2023). pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning. R package version 0.1.0, https://cran.r-project.org/web/packages/pheble. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:41), 0.1.0 (2023-05-17 10:50)
Other packages that cited pheble R package
View pheble citation profile
Other R packages that pheble depends, imports, suggests or enhances
Complete documentation for pheble
Functions, R codes and Examples using the pheble R package
Some associated functions: Global-variables. . ph_anomaly . ph_crocs . ph_ctrl . ph_ensemble . ph_equate . ph_eval . ph_iqr . ph_outs . ph_prep . ph_stickleback . ph_train . reexports . 
Some associated R codes: data.R . ph_ctrl.R . ph_ensemble.R . ph_equate.R . ph_eval.R . ph_globals.R . ph_outs.R . ph_prep.R . ph_train.R .  Full pheble package functions and examples
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