This package provides an application that acts as a GUI for the stm text analysis package.

This package provides a toolkit for Reliability Availability and Maintainability (RAM) modeling of industrial process systems.

Build a project framework for users with access to only the most basic of automation tools.

Allows users to produce diagnostic procedures and graphic tools for the evaluation of Small Area estimators.

This package provides a structured framework for consistent user communication and configuration management for package developers.

Wrench is a package for normalization sparse genomic count data, like that arising from 16s metagenomic surveys.

This package provides negative binomial models for two-group comparisons and regression inferences from RNA-sequencing data.

Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.

This package provides a multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution.

This package provides two convenience functions assert() and test_pkg() to facilitate testing R packages.

This package provides a collection of templates to author preregistration documents for scientific studies in PDF format.

This package provides full screen and partial loading screens for Shiny with spinners, progress bars, and notifications.

Use finite state transducers to compactly represent sets or maps of many strings (> 1 billion is possible).

This package provides a library for working with graphs in the GFA format.

This pure ruby library provides spawn() which is almost perfectly compatible with ruby 1.9's.

This package provides a job queue that uses PostgreSQL for storing jobs and locking between worker processes.

This library provides methods to read Adobe Font Metrics (afm) files and use the data therein.

This package provides simple utility functions that are shared across several packages maintained by the Tanay lab.

Command-line tool and C library for reading files from popular stats packages like SAS, Stata and SPSS.

Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).

Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.

It is devoted to the IVIVC linear level A with numerical deconvolution method. The latter is working for inequal and incompatible timepoints between impulse and response curves. A numerical convolution method is also available. Application domains include pharamaceutical industry QA/QC and R&D together with academic research.

This package provides algorithms to locate multiple distributional change-points in piecewise stationary time series. The algorithms are provably consistent, even in the presence of long-range dependencies. Knowledge of the number of change-points is not required. The code is written in Go and interfaced with R.

This package provides a cross-platform terminal UI used for modifying file data in hex or ASCII.