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traineR

Predictive (Classification and Regression) Models Homologator

Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Quadratic Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Logistic Regression Dobson, A. J., & Barnett, A. G. (2018) <doi:10.1201/9781315182780> and Penalized Logistic Regression Friedman, J. H., Hastie, T., & Tibshirani, R. (2010) <doi:10.18637/jss.v033.i01>.

Versions across snapshots

VersionRepositoryFileSize
2.2.12 rolling linux/jammy R-4.5 traineR_2.2.12.tar.gz 195.4 KiB
2.2.12 rolling linux/noble R-4.5 traineR_2.2.12.tar.gz 196.0 KiB
2.2.12 rolling source/ R- traineR_2.2.12.tar.gz 42.1 KiB
2.2.12 latest linux/jammy R-4.5 traineR_2.2.12.tar.gz 195.4 KiB
2.2.12 latest linux/noble R-4.5 traineR_2.2.12.tar.gz 196.0 KiB
2.2.12 latest source/ R- traineR_2.2.12.tar.gz 42.1 KiB
2.2.12 2026-04-26 source/ R- traineR_2.2.12.tar.gz 42.1 KiB
2.2.12 2026-04-23 source/ R- traineR_2.2.12.tar.gz 42.1 KiB
2.2.12 2026-04-09 windows/windows R-4.5 traineR_2.2.12.zip 199.4 KiB
2.2.0 2025-04-20 source/ R- traineR_2.2.0.tar.gz 44.8 KiB

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