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rminer  

Data Mining Classification and Regression Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rminer", "1.4.6")



Attach the package and use:
library("rminer")
Maintained by
Paulo Cortez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-15
Latest Update: 2020-08-28
Description:
Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.
How to cite:
Paulo Cortez (2011). rminer: Data Mining Classification and Regression Methods. R package version 1.4.6, https://cran.r-project.org/web/packages/rminer
Previous versions and publish date:
1.0 (2011-01-15 17:24), 1.1 (2011-04-25 19:47), 1.2 (2012-10-17 13:03), 1.3.1 (2013-08-12 11:29), 1.3 (2013-03-19 16:00), 1.4.1 (2015-07-18 17:36), 1.4.2 (2016-09-02 22:48), 1.4.3 (2019-12-16 15:00), 1.4.4 (2020-04-09 13:50), 1.4.5 (2020-04-14 13:00), 1.4 (2014-11-07 14:06)
Other packages that cited rminer R package
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Other R packages that rminer depends, imports, suggests or enhances
Functions, R codes and Examples using the rminer R package
Some associated functions: CasesSeries . Importance . crossvaldata . delevels . fit . holdout . imputation . lforecast . mgraph . mining . mmetric . mparheuristic . predict-methods . rminer-internal . sa_fri1 . savemining . sin1reg . vecplot . 
Some associated R codes: estimate.R . metrics.R . model.R . plots.R . preprocess.R .  Full rminer package functions and examples
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