cvms - Cross-Validation for Model Selection
Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
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10.27 score 39 stars 5 dependents 616 scripts 1.3k downloadsgroupdata2 - Creating Groups from Data
Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.
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balancecross-validationdatadata-framefoldgroup-factorgroupsparticipantspartitionsplitstaircase
9.07 score 26 stars 7 dependents 471 scripts 1.8k downloadsrearrr - Rearranging Data
Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.
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arrangeclusterexpandforminggenerateggplot2orderplotting-in-rrollrotateshapingswirltransformations
6.93 score 23 stars 9 dependents 139 scripts 2.0k downloadsxpectr - Generates Expectations for 'testthat' Unit Testing
Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
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6.55 score 37 stars 1 dependents 64 scripts 353 downloads