manymodelr v0.3.2

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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>.

Functions in manymodelr

Name Description
add_model_predictions Add predictions to the data set. A dplyr compatible way to add predictions to a data set.
add_model_residuals Add model residuals
na_replace Replace missing values
get_mode A convenience function that returns the mode
extract_model_info Extract important model attributes
agg_by_group A convenient way to perform grouped operations
multi_model_1 Simultaneously train and predict on new data.
get_data_Stats A pipe friendly way to get summary stats for exploratory data analysis
multi_model_2 Fit and predict in one function
get_this Helper function to easily access elements
get_var_corr Get correlations between variables
na_replace_grouped Replace NAs by group
get_exponent Get the exponent of any number or numbers
fit_models Fit several models with different response variables
fit_model Fit and predict in a single function.
select_col A convenient selector gadget
plot_corr Plot a correlations matrix
get_var_corr_ Get correlations for combinations
rowdiff Get row differences between values
select_percentile Get the row corresponding to a given percentile
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Vignettes of manymodelr

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manymodelr_vignette.rmd
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Details

License GPL-2
Encoding UTF-8
LazyData true
RoxygenNote 7.1.0
URL https://github.com/Nelson-Gon/manymodelr
BugReports https://github.com/Nelson-Gon/manymodelr/issues
VignetteBuilder knitr
NeedsCompilation no
Packaged 2020-06-27 15:04:32 UTC; Nelson
Repository CRAN
Date/Publication 2020-06-27 15:20:02 UTC

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