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 MaÃces 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: Linking:Please use the canonical form https://CRAN.R-project.org/package=imanr to link to this page.
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