Different data resources for microRNAs and some functions for manipulating them.
One degree of freedom contrasts for lm', glm', gls', and geese objects.
Query for metrics from Datadog (<https://www.datadoghq.com/>) via its API.
Toggles the test and production versions of a large data analysis project.
Easily create graphs of the inter-relationships between functions in an environment.
This package provides native R access to Interactive Brokers Trader Workstation API.
Density, spectral density, and regression estimation using infinite order flat-top kernels.
RStudio addins and Shiny modules for descriptive statistics, regression and survival analysis.
This package provides drill down functionality for leaflet choropleths in shiny apps.
Geospatial shapefile data of China administrative divisions to the county/district-level.
Local recombination rates are graphically estimated across a genome using Marey maps.
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/>.
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 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.