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Provides a set of accessible and automated functions to apply statistical models such as Simple Linear Regression (RLS, from the Spanish 'Regresión Lineal Simple'), Multiple Linear Regression (RLM, from the Spanish 'Regresión Lineal Múltiple'), Generalized Linear Models (GLM), and time series analysis through Autoregressive Integrated Moving Average (ARIMA) models. Designed to support teaching at the Universidad Autónoma Chapingo, it facilitates results interpretation and assumption validation through automatic graphical diagnostics. Methods for regression and time series are based on Montgomery et al. (2021, ISBN:978-1119570141) and Box & Jenkins (1970, ISBN:978-0816211043).
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5) |
| Imports: | ggplot2, ggrepel, stats, lmtest |
| Suggests: | pROC, broom, car, rmarkdown, tseries |
| Published: | 2026-05-29 |
| DOI: | 10.32614/CRAN.package.GREENREG |
| Author: | Dayron Jared Bazan Guzman [aut, cre] |
| Maintainer: | Dayron Jared Bazan Guzman <dbazanguzman at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | GREENREG results |
| Reference manual: | GREENREG.html , GREENREG.pdf |
| Package source: | GREENREG_0.1.0.tar.gz |
| Windows binaries: | r-devel: GREENREG_0.1.0.zip, r-release: GREENREG_0.1.0.zip, r-oldrel: GREENREG_0.1.0.zip |
| macOS binaries: | r-release (arm64): GREENREG_0.1.0.tgz, r-oldrel (arm64): GREENREG_0.1.0.tgz, r-release (x86_64): GREENREG_0.1.0.tgz, r-oldrel (x86_64): GREENREG_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.