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DESCRIPTION

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Package: manymodelr
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Title: Build and Tune Several Models
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Version: 0.3.6
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Version: 0.3.7
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Authors@R:
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person(given = "Nelson",
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family = "Gonzabato",
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Kuhn(2014) <arXiv:1405.6974>.
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License: GPL-2
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Encoding: UTF-8
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RoxygenNote: 7.1.1
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RoxygenNote: 7.1.2
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Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.5), lme4 (>= 1.1.27.1)
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Depends: R (>= 3.6.0), caret (>= 6.0.88), Metrics (>= 0.1.4), e1071 (>=
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1.7.8)
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VignetteBuilder: knitr
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LazyData: True
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NeedsCompilation: no
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Packaged: 2021-08-17 09:04:01 UTC; Nelg
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Packaged: 2021-11-12 16:25:12 UTC; Nelg
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Author: Nelson Gonzabato [aut, cre]
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Maintainer: Nelson Gonzabato <gonzabato@hotmail.com>
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Repository: CRAN
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Date/Publication: 2021-08-17 09:20:02 UTC
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Date/Publication: 2021-11-15 09:20:09 UTC

MD5

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a23a6ed7e3ce1de7806077007b8ac1a9 *DESCRIPTION
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030751ac79e21a918fc88af42fae8947 *DESCRIPTION
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5b890b4e6702e91bec066f33067d7f43 *NAMESPACE
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48b0e9f1d7578e2950398b3b88c17dfc *NEWS.md
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4e38fdfb0ca675e454a8c09adbdaba0f *NEWS.md
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518454b66ca6118022c2b8af4a0ca8c4 *R/add_model_predictions.R
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f2762e97ba176df4fb8f6353b51378d0 *R/agg_by_group.R
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bc7d09ebabd93ba1d103208c8cac1085 *R/data.R
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cd49d47c42bd30c8af85f0beb13508b4 *R/select_col.R
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02eb71717092b79817044b435d83d240 *R/select_percentile.R
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875a9e384d3870811939e537ad7398c4 *tests/testthat/test_plot_corr.R
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NEWS.md

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---
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title: "manymodelr-News"
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title: "manymodelr's changelog"
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author: "Nelson Gonzabato"
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output: htlm_document
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output: html_document
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---
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# manymodelr 0.3.7
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* We no longer use any URLs in vignettes to avoid issues with CRAN checks.
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# manymodelr 0.3.6
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- `row_mean_na` is now defunct. Use `na_replace` instead.
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- `na_replace` no longer allows using functions such as `mean`,`min`, etc. These have been reimplemented in the package [mde](https://www.github.com/Nelson-Gon/mde)
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- `na_replace` no longer allows using functions such as `mean`,`min`, etc. These have been reimplemented in the package [mde](https://github.com/Nelson-Gon/mde)
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- `modeleR` is now defunct. Use `fit_model` instead.

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As can probably(hopefully) be guessed from the name, this provides a convenient way to get variable correlations. It enables one to get correlation between one variable and all other variables in the data set.

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In this vignette, we take a look at how we can simplify many machine learning tasks using `manymodelr`.
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First, a word of caution. The examples shown in this section are meant to simply show what the functions do and not what the best model is. For a specific use case, please perform the necessary model checks, post-hoc analyses, and/or choose predictor variables and model types as appropriate based on domain knowledge.
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- `get_var_corr`
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As can probably(hopefully) be guessed from the name, this provides a convenient way to get variable correlations. It enables one to get correlation between one variable and all other variables in the data set.

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In this vignette, we take a look at how we can simplify many machine learning tasks using `manymodelr`.
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