Package: rminer
Type: Package
Title: Data Mining Classification and Regression Methods
Version: 1.4.3
Date: 2019-12-16
Authors@R: c(person("Paulo", "Cortez",role=c("aut","cre"),email="pcortez@dsi.uminho.pt"))
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>
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: 1.4.3 new metrics (e.g., macro precision, explained variance), new least squares support vector machine 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/algorithms, 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 (improved mmetric function); 1.2 - new input importance methods (improved Importance function); 1.0 - first version.
Imports: methods, plotrix, lattice, nnet, kknn, pls, MASS, mda, rpart,
        randomForest, adabag, party, Cubist, kernlab, e1071, glmnet,
        xgboost
LazyLoad: Yes
License: GPL-2
URL: https://cran.r-project.org/package=rminer
        http://www3.dsi.uminho.pt/pcortez/rminer.html
NeedsCompilation: no
Packaged: 2019-12-16 11:53:30 UTC; pcortez
Repository: CRAN
Date/Publication: 2019-12-16 14:00:02 UTC
