This package provides a collection of statistical tests for genetic association studies and summary data based Mendelian randomization.

Create tables from within R directly on Google Slides presentations. Currently supports matrix, data.frame and flextable objects.

Calculates MeDiA_K (means Mean Distance Association by K-nearest neighbor) in order to detect nonlinear associations.

Quickly create numeric matrices for machine learning algorithms that require them. It converts factor columns into onehot vectors.

This package provides tools for (automated and manual) quality control of the results of Genome Wide Association Studies.

This package provides tools for (automated and manual) quality control of the results of Epigenome-Wide Association Studies.

This package provides tools for scraping information from webpages and other XML contents, using XPath or CSS selectors.

This package provides a platform for computing competition indices and experimenting with spatially explicit individual-based vegetation models.

This package provides a ggplot2 theme and colour palettes to create accessible data visualisations in the Scottish Government.

Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.

Fast flattening of hierarchical data structures (e.g. JSON, XML) into data.frames with a flexible spec language.

This package provides a Stata-style `webuse()` function for importing named datasets from Stata's online collection.

This GEWIST package provides statistical tools to efficiently optimize SNP prioritization for gene-gene and gene-environment interactions.

This package provides functions and classes for de novo prediction of transcription factor binding consensus by heuristic search.

This package provides an assortment of R functions that is suitable for all types of microbial diversity analyses.

This package provides UI widget and layout functions for writing Shiny apps that work well on small screens.

This is a package for binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.

This package provides an interface to use SPARQL to pose SELECT or UPDATE queries to an end-point.

This crate provides very portable functions to control the stack pointer and inspect the properties of the stack.

This package provides a pure Ruby implementation of the RFC 7519 OAuth JWT standard.

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.

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.

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.

Providing just one primary function, readit uses a set of reasonable heuristics to apply the appropriate reader function to the given file path. As long as the data file has an extension, and the data is (or can be coerced to be) rectangular, readit() can probably read it.