imanr: Identify the Racial Complex of Native Corns from Mexico
A model that provides researchers with a powerful tool for the classification
and study of native corn by aiding in the identification of racial complexes
which are fundamental to Mexico's agriculture and culture. This package has been
developed based on data collected by "Proyecto Global de Maíces Nativos México",
which has conducted exhaustive surveys across the country to document the
qualitative and quantitative characteristics of different types of native maize.
The trained model uses a robust and diverse dataset, enabling it to achieve an
80% accuracy in classifying maize racial complexes. The characteristics included
in the analysis comprise geographic location, grain and cob colors, as well as
various physical measurements, such as lengths and widths.
| Version: |
2.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
missForest, dplyr, parallel, doParallel, foreach, bundle, tidymodels, xgboost |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2025-02-12 |
| DOI: |
10.32614/CRAN.package.imanr |
| Author: |
Rafael Nieves-Alvarez
 [aut, cre],
Arturo Sanchez-Porras
[aut, cph],
Aline Romero-Natale
[aut],
Otilio Arturo Acevedo-Sandoval
[aut] |
| Maintainer: |
Rafael Nieves-Alvarez <nievesalvarez1618 at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
imanr results |
Documentation:
Downloads:
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