Landscape Utility Toolbox

Provides utility functions for some of the less-glamorous tasks involved in landscape analysis. It includes functions to coerce raster data to the common tibble format and vice versa, it helps with flexible reclassification tasks of raster data and it provides a function to merge multiple raster. Furthermore, 'landscapetools' helps landscape scientists to visualize their data by providing optional themes and utility functions to plot single landscapes, rasterstacks, -bricks and lists of raster.

Use 'QGIS' Processing Algorithms

Provides seamless access to the 'QGIS' (< https://qgis.org>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) < https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.

Tools for Using React in Shiny

A toolbox for defining React component wrappers which can be used seamlessly in Shiny apps.

Shiny Applications Internationalization

It provides easy internationalization of Shiny applications. It can be used as standalone translation package to translate reports, interactive visualizations or graphical elements as well.

Flexible Tool for Bias Detection, Visualization, and Mitigation

Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) .

Multidimensional Top Scoring for Creativity Research

Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) .

'Open Scoring' API Client

Creativity research involves the need to score open-ended problems. Usually done by humans, automatic scoring using AI becomes more and more accurate. This package provides a simple interface to the 'Open Scoring' API < https://openscoring.du.edu/docs>, leading creativity scoring technology by Organiscak et al. (2023) . With it, you can score your own data directly from an R script.

Semantic UI Support for Shiny

Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Fomantic UI - < https://fomantic-ui.com/> (before Semantic). It also supports universal UI input binding that works with various DOM elements.

Find Functions and their Dependencies

Find functions in an unstructured directory and explore their dependencies. Sourcing of R source files is performed without side-effects: from R scripts that have executable code and function definitions only functions are sourced.

Mutation Testing

Measure quality of your tests. 'muttest' introduces small changes (mutations) to your code and runs your tests to check if they catch the changes. If they do, your tests are good. If not, your assertions are not specific enough. 'muttest' gives you percent score of how often your tests catch the changes.