This package implements various measures of information theory based on several entropy estimators.

This package provides Objective-C interface and bindings to the Cocoa Foundation framework.

This package provides Objective-C interface and bindings to the Cocoa Foundation framework.

This package provides Objective-C interface and bindings to the Cocoa Foundation framework.

This package provide a small library for setting, getting, and listing extended attributes.

This package provides a library for safe global and thread-local state management.

This crate provides a complete, safe and native Rust implementation of Apache Arrow.

This package provides a library for safe global and thread-local state management.

This package provides a library for getting information on Unix users and groups.

This package provides a small utility to create hexdump output from byte slices.

This package provides a library for reading and writing the DWARF debugging format.

This package provides functions for finding row-minima in a totally monotone matrix.

This package provides a library for safe global and thread-local state management.

This package provides a fast, lightweight, embedded systems-friendly library for wrapping text.

This crate provides a complete, safe and native Rust implementation of Apache Arrow.

This package provides PyO3-based Rust bindings of the NumPy C-API.

This package provides a crate with information from the time it was built.

This package provides a Ruby kernel for Jupyter/IPython frontends (e.g. notebook).

Annotate text with entities and the relations between them. Annotate areas of interest in images with your labels. Providing htmlwidgets bindings to the recogito <https://github.com/recogito/recogito-js> and annotorious <https://github.com/recogito/annotorious> libraries.

This package implements the robust functional analysis of variance (RoFANOVA), described in Centofanti et al. (2021) <arXiv:2112.10643>. It allows testing mean differences among groups of functional data by being robust against the presence of outliers.

This package contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9.

Perform robust estimation and inference in platform trials and other master protocol trials. Yuhan Qian, Yifan Yi, Jun Shao, Yanyao Yi, Gregory Levin, Nicole Mayer-Hamblett, Patrick J. Heagerty, Ting Ye (2025) <doi:10.48550/arXiv.2411.12944>.

This package implements distance based probability models for ranking data. The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance, Weighted-tau distance and Weighted Kendall distance. Phi-component model and mixture models are also supported.

The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run apsimx files in the APSIM Next Generation <https://www.apsim.info/>.