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 functions from 'caret' with easier to read syntax. Kuhn(2014) <arXiv:1405.6974>.
|Depends:||R (≥ 3.6.0), caret (≥ 6.0.88), Metrics (≥ 0.1.4), e1071 (≥ 1.7.8)|
|Imports:||dplyr (≥ 1.0.0), ggplot2 (≥ 3.3.5), lme4 (≥ 184.108.40.206)|
|Suggests:||knitr, rmarkdown, testthat, covr, markdown|
|Author:||Nelson Gonzabato [aut, cre]|
|Maintainer:||Nelson Gonzabato <gonzabato at hotmail.com>|
|CRAN checks:||manymodelr results|
"Variable Correlations with manymolder"
"Modeling made simple with manymodelr"
"Extra functions in manymodelr"
"Easy modeling with manymodelr"
|Windows binaries:||r-devel: manymodelr_0.3.7.zip, r-release: manymodelr_0.3.7.zip, r-oldrel: manymodelr_0.3.7.zip|
|macOS binaries:||r-release (arm64): manymodelr_0.3.7.tgz, r-oldrel (arm64): manymodelr_0.3.7.tgz, r-release (x86_64): manymodelr_0.3.7.tgz, r-oldrel (x86_64): manymodelr_0.3.7.tgz|
|Old sources:||manymodelr archive|
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