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).
Last updated 26 days ago
10.31 score 39 stars 5 dependents 492 scripts 1.9k 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.
Last updated 3 months ago
balancecross-validationdatadata-framefoldgroup-factorgroupsparticipantspartitionsplitstaircase
9.04 score 27 stars 7 dependents 338 scripts 2.3k 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.
Last updated 26 days ago
arrangeclusterexpandforminggenerateggplot2orderplotting-in-rrollrotateshapingswirltransformations
7.26 score 24 stars 8 dependents 128 scripts 2.5k 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.
Last updated 27 days ago
6.06 score 37 stars 62 scripts 501 downloads