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traineR  

Predictive (Classification and Regression) Models Homologator
View on CRAN: Click here


Download and install traineR package within the R console
Install from CRAN:
install.packages("traineR")

Install from Github:
library("remotes")
install_github("cran/traineR")

Install by package version:
library("remotes")
install_version("traineR", "2.2.0")



Attach the package and use:
library("traineR")
Maintained by
Oldemar Rodriguez R.
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-07
Latest Update: 2022-08-22
Description:
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>.
How to cite:
Oldemar Rodriguez R. (2019). traineR: Predictive (Classification and Regression) Models Homologator. R package version 2.2.0, https://cran.r-project.org/web/packages/traineR
Previous versions and publish date:
1.0.0 (2019-10-07 19:20), 1.0.1 (2020-10-30 00:00), 1.6.1 (2021-04-30 11:50), 1.6.2 (2021-06-03 10:10), 1.6.3 (2022-04-06 01:10), 1.7.3 (2022-04-27 15:30), 1.7.4 (2022-04-30 01:20), 2.0.4 (2022-08-23 00:50), 2.1.0 (2023-10-09 20:00)
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