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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rminer" in publications use:'
type: software
license: GPL-2.0-only
title: 'rminer: Data Mining Classification and Regression Methods'
version: 1.4.7
doi: 10.32614/CRAN.package.rminer
identifiers:
- type: url
  value: http://www3.dsi.uminho.pt/pcortez/rminer.html
abstract: '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: 1.4.7 improved Importance function and examples, minor error
  fixes; 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.'
authors:
- family-names: Cortez
  given-names: Paulo
  email: pcortez@dsi.uminho.pt
repository: https://CRAN.R-project.org/package=rminer
url: https://cran.r-project.org/package=rminer
date-released: '2024-10-22'
contact:
- family-names: Cortez
  given-names: Paulo
  email: pcortez@dsi.uminho.pt