Package computes popular and widely used multicollinearity diagnostic measures \doi10.17576/jsm-2019-4809-26 and \doi10.32614/RJ-2016-062. Package also indicates which regressors may be the reason of collinearity among regressors.

User-friendly Shiny apps for designing and evaluating phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug, using a Bayesian decision procedure based on logistic regression.

This package provides a set of functions, classes and methods for performing ABC and ABC/XYZ analyses, identifying overperforming, underperforming and constantly performing items, and plotting, analyzing as well as predicting the temporal development of items.

This package provides a wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.

This package provides a fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.

Obtain and evaluate various optimal designs for the 3, 4, and 5-parameter logistic models. The optimal designs are obtained based on the numerical algorithm in Hyun, Wong, Yang (2018) <doi:10.18637/jss.v083.i05>.

This package provides tools to show and draw image pixels using HTML widgets and Shiny applications. It can be used to visualize the MNIST dataset for handwritten digit recognition or to create new image recognition datasets.

Simulation of continuous, correlated high-dimensional data with time to event or binary response, and parallelized functions for Lasso, Ridge, and Elastic Net penalized regression with repeated starts and two-dimensional tuning of the Elastic Net.

Implementation of assumption-lean and data-adaptive post-prediction inference (POPInf), for valid and efficient statistical inference based on data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023) <arXiv:2311.14220>.

This package provides an easy framework for Monte Carlo simulation in structural equation modeling, which can be used for various purposes, such as such as model fit evaluation, power analysis, or missing data handling and planning.

This package provides a simple interface to developing complex data pipelines which can be executed in a single call. sewage makes it easy to test, debug, and share data pipelines through it's interface and visualizations.

This package provides methods for fitting semi-parametric mean and variance models, with normal or censored data. Extended to allow a regression in the location, scale and shape parameters, and further for multiple regression in each.

Seamless extraction of river networks from digital elevation models data. The package allows analysis of digital elevation models that can be either externally provided or downloaded from open source repositories (thus interfacing with the elevatr package). Extraction is performed via the D8 flow direction algorithm of TauDEM (Terrain Analysis Using Digital Elevation Models), thus interfacing with the traudem package. Resulting river networks are compatible with functions from the OCNet package. See Carraro (2023) <doi:10.5194/hess-27-3733-2023> for a presentation of the package.

The open sourced data management software Integrated Rule-Oriented Data System ('iRODS') offers solutions for the whole data life cycle (<https://irods.org/>). The loosely constructed and highly configurable architecture of iRODS frees the user from strict formatting constraints and single-vendor solutions. This package provides an interface to the iRODS HTTP API, allowing you to manage your data and metadata in iRODS with R. Storage of annotated files and R objects in iRODS ensures findability, accessibility, interoperability, and reusability of data.

Facilitates the design and analysis of intertidal chamber experiments as described in Pham & Sokolova (2026) <doi:10.64898/2026.09.28.754745>. It supports generating experimental profiles for ElectricBlue intertidal chambers, reading log files, and checking actual chamber conditions against designed profiles. It also helps read log files from EnvLogger robomussels (or temperature loggers) and Pulse V2 heart rate loggers, and provides an algorithm to extract heart rates from Pulse V2 records. The acronym stands for Research Assistant in Marine Biology at the University of Rostock.

This is a package for maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.

This package provides a more scalable alternative to Venn and Euler diagrams for visualizing intersecting sets. Create visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks.

This package provides a toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.

This package provides an R wrapper of OpenAI API endpoints (see https://platform.openai.com/docs/introduction for details). This package covers Models, Completions, Chat, Edits, Images, Embeddings, Audio, Files, Fine-tunes, Moderations, and legacy Engines endpoints.

This package provides tools to estimate parameters of accumulated damage (load duration) models based on failure time data under a Bayesian framework, using Approximate Bayesian Computation (ABC), and to assess long-term reliability under stochastic load profiles.

Rayforge is a cross-platform 2D CAD and G-code control software designed for GRBL-based laser cutters and engravers. It features an interface built using GTK4 and Libadwaita, with support for SVG, DXF, PDF, and various image formats.

RabbitMQ is a messaging and streaming broker that supports multiple messaging protocols, including AMQP 1.0 and MQTT 5.0. It offers features such as message routing, filtering, streaming, federation, and clustering. It is designed for reliability and flexibility.

Infer alternative splicing from paired-end RNA-seq data. The model is based on counting paths across exons, rather than pairwise exon connections, and estimates the fragment size and start distributions non-parametrically, which improves estimation precision.

This package provides `dplyr` verbs (`mutate`, `select`, `filter`, etc...) supporting `S4Vectors::DataFrame` objects. Importantly, this is achieved without conversion to an intermediate `tibble`. Adds grouping infrastructure to `DataFrame` which is respected by the transformation verbs.