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: 1.0.2
Depends: R (≥ 3.5.0)
Imports: missForest, caret, ranger, dplyr, parallel, doParallel, foreach
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2024-06-23
DOI: 10.32614/CRAN.package.imanr
Author: Rafael Nieves-Alvarez ORCID iD [aut, cre], Arturo Sanchez-Porras ORCID iD [aut, cph], Aline Romero-Natale ORCID iD [aut], Otilio Arturo Acevedo-Sandoval ORCID iD [aut]
Maintainer: Rafael Nieves-Alvarez <nievesalvarez1618 at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: imanr results


Reference manual: imanr.pdf
Vignettes: Identify the Racial Complex of Native Corns from Mexico


Package source: imanr_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): imanr_1.0.2.tgz, r-oldrel (arm64): imanr_1.0.2.tgz, r-release (x86_64): imanr_1.0.2.tgz, r-oldrel (x86_64): imanr_1.0.2.tgz


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