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Tidy Tools for Paleoenvironmental Archives
Provides a set of functions with a common framework for age-depth model management,
stratigraphic visualization, and common statistical transformations. The focus of the
package is stratigraphic visualization, for which 'ggplot2' components are provided
to reproduce the scales, geometries, facets, and theme elements commonly used in
publication-quality stratigraphic diagrams. Helpers are also provided to reproduce
the exploratory statistical summaries that are frequently included on
stratigraphic diagrams. See Dunnington et al. (2021)
Tidy Plots for Scientific Papers
The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
Tidy, Integrated Gene Annotation
A framework for intuitive, multi-source gene and protein annotation, with a focus on integrating functional genomics with disease and drug data for translational insights. Methods used include g:Profiler (Raudvere et al. (2019)
Tidy Tools for 'Raster' Data
Facilities to work with vector and raster data in efficient repeatable and systematic work flow. Missing functionality in existing packages is included here to allow extraction from raster data with 'simple features' and 'Spatial' types and to make extraction consistent and straightforward. Extract cell numbers from raster data and return the cells as a data frame rather than as lists of matrices or vectors. The functions here allow spatial data to be used without special handling for the format currently in use.
Tidy Presentation of Clinical Reporting
Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Tidy Modelling for Nested Data
A modelling framework for nested data using the 'tidymodels' ecosystem. Specify how to nest data using the 'recipes' package, create testing and training splits using 'rsample', and fit models to this data using the 'parsnip' and 'workflows' packages. Allows any model to be fit to nested data.
Extract 'REDCap' Databases into Tidy 'Tibble's
Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Tidy Integration of Large Language Models
A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Gemini','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at < https://www.anthropic.com>, < https://openai.com>, < https://aistudio.google.com/>, < https://mistral.ai/> and < https://ollama.com>.
Tidy Processing and Analysis of Biological Sequences
A tidy approach to analysis of biological sequences. All processing and data-storage functions are heavily optimized to allow the fastest and most efficient data storage.
Regularized Linear Modeling with Tidy Data
An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.