This package was automatically created by package matchprobes version 1.4.0. The probe sequence data was obtained from http://www.affymetrix.com.
Automatically selects and runs the most appropriate statistical test for your data, returning clear, easy-to-read results. Ideal for all experience levels.
This package provides a rule-based simulation environment for modeling real-world athlete performance, dynamic training sessions, hierarchical variance, and missing telemetry data.
Pass named and unnamed character vectors into specified positions in strings. This represents an attempt to replicate some of python's string formatting.
This package contains code to illustrate the Using R and Bioconductor for proteomics data analysis and Visualisation of proteomics data using R and Bioconductor manuscripts. The vignettes describe the code and data needed to reproduce the examples and figures described in the paper and functionality for proteomics visualisation. It also contain various function to discover R software for mass spectrometry and proteomics.
Export all data, including metadata, from a REDCap (Research Electronic Data Capture) Project via the REDCap API <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>. The exported (meta)data will be processed and formatted into a stand-alone R data package which can be installed and shared between researchers. Several default reports are generated as vignettes in the resulting package.
Org-Reveal is a org-mode extension that allows to create beautiful presentations (slides) with 3D effects from simple but powerful Org contents.
RISC-V mode is a major mode for editing RISC-V assembly programs. It includes syntax highlighting, syntactic indentation and code evaluation with spike.
rustworkx is a Python package for working with graphs and complex networks. It enables the creation, interaction with, and study of graphs and networks.
This library can be used as a module for fog or as standalone libvirt provider. fog is a Ruby cloud services library.
This library provides TZInfo::Data, which contains data from the IANA Time Zone database packaged as Ruby modules for use with TZInfo.
This package causes the page numbers in the DVI file (as defined by \count0) to be negative when roman page numbering is in effect.
Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Dataset of 302 measurements of 11 fish species to accompany the manuscript "Length-weight relationships of six freshwater fish species from lake Kirkkojarvi, Finland".
Converts results from the manymome package, presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>, to publication-ready tables.
This package provides a collection of common univariate bounded probability distributions transformed to the unbounded real line, for the purpose of increased MCMC efficiency.
This package provides functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Allows TailwindCSS to be used in Shiny apps with just-in-time compiling, custom css with @apply directive, and custom tailwind configurations.
This package provides a set of tools developed at Simularia for Simularia, to help preprocessing and post-processing of meteorological and air quality data.
This package defines classes for "class discovery" in the OOMPA project. Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.
This package provides an interface to Amazon Web Services analytics services, including Elastic MapReduce Hadoop and Spark big data service, Elasticsearch search engine, and more.
ICU is a set of C/C++ and Java libraries providing Unicode and globalisation support for software applications. This package contains the C/C++ part.
stb-image-resize is a library that supports scaling and translation of images. This library is deprecated; stb-image-resize2 should be used instead.
Bland-Altman Plots using either base graphics or ggplot2, augmented with confidence intervals, with detailed return values and a sunflowerplot option for data with ties.