modeltuning - Model Selection and Tuning Utilities

Provides a lightweight framework for model selection and hyperparameter tuning in R. The package offers intuitive tools for grid search, cross-validation, and combined grid search with cross-validation that work seamlessly with virtually any modeling package. Designed for flexibility and ease of use, it standardizes tuning workflows while remaining fully compatible with a wide range of model interfaces and estimation functions.

Last updated

4.99 score 13 scripts 186 downloads

tugboat - Build a Docker Image from a Directory or Project

Simple utilities to generate a Dockerfile from a directory or project, build the corresponding Docker image, push the image to DockerHub, and publicly share the project via Binder.

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dockerreproducible-research

4.74 score 22 stars 4 scripts 118 downloads

jetty - Execute R in a 'Docker' Context

The goal of 'jetty' is to execute R functions and code snippets in an isolated R subprocess within a 'Docker' container and return the evaluated results to the local R session. 'jetty' can install necessary packages at runtime and seamlessly propagates errors and outputs from the 'Docker' subprocess back to the main session. 'jetty' is primarily designed for sandboxed testing and quick execution of example code.

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dockerreproducible-research

4.32 score 9 stars 23 scripts 210 downloads

bolasso - Model Consistent Lasso Estimation Through the Bootstrap

Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.

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bolassobootstraplassovariable-selection

3.88 score 5 stars 7 scripts 647 downloads