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pheble
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-17
Latest Update: 2023-05-17
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
Previous versions and publish date:
No previous versions
Other packages that cited pheble R package
View pheble citation profile
Other R packages that pheble depends,
imports, suggests or enhances
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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