Interact with Google Cloud Storage <https://cloud.google.com/storage/> API in R. Part of the cloudyr <https://cloudyr.github.io/> project.

Gherkin is a parser and compiler for the Gherkin language. It is intended be used by all Cucumber implementations to parse .feature files.

This package makes some changes to the reference, citation and footnote macros to improve the default behavior of LaTeX for High Energy Physics publications.

This package was automatically created by package AnnotationForge version 1.11.20. The probe sequence data was obtained from http://www.affymetrix.com.

This package was automatically created by package AnnotationForge version 1.11.20. The probe sequence data was obtained from http://www.affymetrix.com.

The minitest-proveit MiniTest extension ensures all tests to prove success (via at least one assertion) rather than rely on the absence of failure.

Tailscale lets you easily manage access to private resources, quickly SSH into devices on your network, and work securely from anywhere in the world.

Shoulda Matchers provides RSpec- and Minitest-compatible one-liners that test common Rails functionality. These tests would otherwise be much longer, more complex, and error-prone.

Reconstructs animal tracks from magnetometer, accelerometer, depth and optional speed data. Designed primarily using data from Wildlife Computers Daily Diary tags deployed on northern fur seals.

This package generates microarray quality metrics reports for data in Bioconductor microarray data containers (ExpressionSet, NChannelSet, AffyBatch). One and two color array platforms are supported.

This R package provides tools for handling genomic interaction data, such as ChIA-PET/Hi-C, annotating genomic features with interaction information and producing various plots and statistics.

This library implements parts of the JSON-RPC specification, allowing for calling methods on remote servers by exchanging JSON objects.

This gem is a Faraday adapter for the Net::HTTP library. Faraday is an HTTP client library that provides a common interface over many adapters.

This package performs Stratified Covariate Balancing with Markov blanket feature selection and use of synthetic cases. See Alemi et al. (2016) <DOI:10.1111/1475-6773.12628>.

Flat Remix is an icon theme inspired by material design. It is mostly flat using a colorful palette with some shadows, highlights, and gradients for some depth.

Powerful user interface for adding symbols, smileys, arrows, building mathematical equations using LaTeX or r2symbols'. Built for use in development of Markdown and Shiny Outputs.

This package provides methods to calculate approximate regional consistency probabilities using Method 1 and Method 2 proposed by the Japanese Ministry of Health, Labor and Welfare (2007) <https://www.pmda.go.jp/files/000153265.pdf>. These methods are useful for assessing regional consistency in multi-regional clinical trials. The package can calculate unconditional, joint, and conditional regional consistency probabilities. For technical details, please see Homma (2024) <doi:10.1002/pst.2358>.

Constructing an epistemic model such that, for every player i and for every choice c(i) which is optimal, there is one type that expresses common belief in rationality.

Send server-side tracking data from R. The Measurement Protocol version 2 <https://developers.google.com/analytics/devguides/collection/protocol/ga4> allows sending HTTP tracking events from R code.

Data sets for statistical inference modeling related to People Analytics. Contains various data sets from the book Handbook of Regression Modeling in People Analytics by Keith McNulty (2020).

The Cancer Genome Atlas (TCGA) is applying genomics technologies to over 20 different types of cancer. This package contains a small set of 450k array data in idat format.

Estimates weights to make a continuous-valued exposure statistically independent of a vector of pre-treatment covariates using the method proposed in Huling, Greifer, and Chen (2021) <arxiv:2107.07086>.

CL-random-forest is an implementation of Random Forest for multiclass classification and univariate regression written in Common Lisp. It also includes an implementation of Global Refinement of Random Forest.

Enable seamless interaction with Consibio Cloud <https://consibio.cloud> API <https://api.v2.consibio.com/api-docs/>. This package provides tools to query data from resources like projects, elements, devices, and datalogs.