manymodelr: Build and Tune Several Models

Frequently one needs a convenient way to build and tune several models in one go.The goal is to provide a number of machine learning convenience functions. It provides the ability to build, tune and obtain predictions of several models in one function. The models are built using 'caret' functions with easier to read syntax. Kuhn(2014) <arXiv:1405.6974>.

Version: 0.3.2
Depends: R (≥ 3.6.0), caret (≥ 6.0-81), Metrics (≥ 0.1.4), e1071 (≥ 1.7-0.1)
Imports: dplyr (≥ 0.8.9), ggplot2 (≥ 3.2.0), lme4 (≥ 1.1.23)
Suggests: knitr, rmarkdown, testthat, covr
Published: 2020-06-27
Author: Nelson Gonzabato [aut, cre]
Maintainer: Nelson Gonzabato <gonzabato at hotmail.com>
BugReports: https://github.com/Nelson-Gon/manymodelr/issues
License: GPL-2
URL: https://github.com/Nelson-Gon/manymodelr
NeedsCompilation: no
Materials: NEWS
CRAN checks: manymodelr results

Downloads:

Reference manual: manymodelr.pdf
Vignettes: "A Gentle Introduction to manymodelr"
Package source: manymodelr_0.3.2.tar.gz
Windows binaries: r-devel: manymodelr_0.3.2.zip, r-release: manymodelr_0.3.2.zip, r-oldrel: manymodelr_0.3.2.zip
macOS binaries: r-release: manymodelr_0.3.1.tgz, r-oldrel: manymodelr_0.3.2.tgz
Old sources: manymodelr archive

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