entropies
An R project to work with entropic coordinates, the entropy triangle, NIT and EmA.
Science Score: 44.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Keywords
machine-learning-evaluation
Last synced: 6 months ago
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Repository
An R project to work with entropic coordinates, the entropy triangle, NIT and EmA.
Statistics
- Stars: 2
- Watchers: 0
- Forks: 3
- Open Issues: 0
- Releases: 1
Topics
machine-learning-evaluation
Created over 10 years ago
· Last pushed 11 months ago
Metadata Files
Readme
Citation
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# entropies
The goal of entropies is to ...
## Installation
You can install entropies from github with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("FJValverde/entropies")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
## basic example code
```
Owner
- Login: FJValverde
- Kind: user
- Location: Fuenlabrada, Spain
- Company: Universidad Rey Juan Carlos
- Repositories: 19
- Profile: https://github.com/FJValverde
Citation (CITATION.cff)
cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Valverde-Albacete
given-names: Francisco J.
orcid: https://orcid.org/0000-0002-5874-7604
title: "entropies --- Entropy Triangles"
version: v0.2.0-beta
date-released: 2023-09-04
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2
Dependencies
DESCRIPTION
cran
- R >= 2.10 depends
- entropy >= 1.2.1 depends
- ggtern >= 3.0.0 depends
- infotheo >= 1.2.0 depends
- caret >= 6.0 imports
- dplyr >= 0.7.6 imports
- ggplot2 >= 3.0.0 imports
- tibble >= 1.4.2 imports
- tidyr >= 0.8.1 imports
- candisc >= 0.8 suggests
- datasets >= 3.5.1 suggests
- knitr * suggests
- mlbench >= 2.1 suggests
- rmarkdown * suggests
- vcd >= 1.4 suggests