RStudio addins and Shiny modules for descriptive statistics, regression and survival analysis.
This package provides drill down functionality for leaflet choropleths in shiny apps.
Local recombination rates are graphically estimated across a genome using Marey maps.
Geospatial shapefile data of China administrative divisions to the county/district-level.
This package provides a socket server allows to connect clients to R.
Add significance marks to any R Boxplot, including a given significance niveau.
Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.
Allows users to access live UK energy market information via various APIs.
Displays geospatial data on an interactive 3D globe in the web browser.
EXIF Reader is a module to read EXIF from JPEG and TIFF images.
A web-based frontend for Retroshare. Communicates with the client through the JSON API.
This package provides an easy way to determine which directories on the user's computer should be used to save data, caches and logs. It is a port of Python's Appdirs to R.
Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.
The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run apsimx files in the APSIM Next Generation <https://www.apsim.info/>.
This package implements distance based probability models for ranking data. The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance, Weighted-tau distance and Weighted Kendall distance. Phi-component model and mixture models are also supported.
This package contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9.
Perform robust estimation and inference in platform trials and other master protocol trials. Yuhan Qian, Yifan Yi, Jun Shao, Yanyao Yi, Gregory Levin, Nicole Mayer-Hamblett, Patrick J. Heagerty, Ting Ye (2025) <doi:10.48550/arXiv.2411.12944>.
This package provides tools for analyzing data from RoboCupRescue Simulation (RRS) <https://rescuesim.robocup.org>, a disaster rescue simulation platform. Supports reading virtual city map and disaster scenario files into analyzable data structures and provides functions for their visualization.
This package implements the robust functional analysis of variance (RoFANOVA), described in Centofanti et al. (2023) <doi:10.1093/jrsssc/qlad074>. It allows testing mean differences among groups of functional data by being robust against the presence of outliers.
(guix-science-nonfree packages bioconductor)Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.
This package provides classes and methods to support Gene Set Enrichment Analysis (GSEA).
This package provides methods for working with Illumina arrays using the gdsfmt package.
This package provides the tools necessary to do non-standard evaluation (NSE) in R.
This package provides functions for converting, importing, and drawing PostScript pictures in R plots.