This package enables you to define a command-line interface by just giving it a description in the specific format.

This package provides functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing.

Syn is a parsing library for parsing a stream of Rust tokens into a syntax tree of Rust source code.

This package provides an implementation of union-find / congruence-closure in Rust. It was extracted from rustc for independent experimentation.

Syn is a parsing library for parsing a stream of Rust tokens into a syntax tree of Rust source code.

Syn is a parsing library for parsing a stream of Rust tokens into a syntax tree of Rust source code.

Syn is a parsing library for parsing a stream of Rust tokens into a syntax tree of Rust source code.

This package provides an implementation of union-find / congruence-closure in Rust. It was extracted from rustc for independent experimentation.

Syn is a parsing library for parsing a stream of Rust tokens into a syntax tree of Rust source code.

Extracts tagged text from markdown manuscripts for inclusion in dynamically generated revision letters. Provides an R markdown template based on papaja::revision_letter_pdf() with comment cross-referencing, a system for managing multiple sections of extracted text, and a way to automatically determine the page number of quoted sections from PDF manuscripts.

The rfacts package is an R interface to the Fixed and Adaptive Clinical Trial Simulator FACTS. It programmatically invokes FACTS to run clinical trial simulations. It aggregates simulation output data into tidy data frames. These capabilities provide end-to-end automation for large-scale simulation pipelines, and they enhance computational reproducibility.

This package provides methods to compute chemical similarity between two or more reactions and molecules. Allows masking of chemical substructures for weighted similarity computations. Uses packages rCDK and fingerprint for cheminformatics functionality. Methods for reaction similarity and sub-structure masking are as described in: Giri et al. (2015) <doi:10.1093/bioinformatics/btv416>.

This package provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.

The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors. Brunner, E., Bathke, A. and Konietschke, F. (2018) <doi:10.1007/978-3-030-02914-2>.

Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from DICOM-RT files. These tools also enable subsequent visualization and statistical analysis of these data.

Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.

Calculates a range of UK freshwater invertebrate biotic indices including BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.

This package implements an S3 class based on data.table to store and process efficiently ethomics (high-throughput behavioural) data.

Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.

Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.

This package provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.

Phase I/II adaptive dose-finding design for combination studies where toxicity rates are supposed to increase with both agents.

This package performs some enhanced variable selection algorithms based on the least absolute shrinkage and selection operator for regression model.

This package provides classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.