This package provides mappings from Entrez gene identifiers to various annotations for the genome of the rat.
This package provides a collection of palettes designed to integrate with ggplot', reflecting the color schemes associated with ConesaLab'.
Rust programming language toolchain
Measure YARD documentation coverage
Integers of various widths.
This package provides the Breiman and Cutler's random forests algorithm, based on a forest of trees using random inputs, for classification and regression.
Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.
RNAmodR.Data contains example data, which is used for vignettes and example workflows in the RNAmodR and dependent packages.
This package provides a collection of efficient implementations of popular offline change-point detection algorithms, featuring a consistent, object-oriented interface for practical use.
Documentation at https://melpa.org/#/runtests
Documentation at https://melpa.org/#/rbtagger
Documentation at https://melpa.org/#/recently
Documentation at https://melpa.org/#/redacted
Documentation at https://melpa.org/#/repeater
Documentation at https://melpa.org/#/redshank
This package implements Dirichlet regression models.
R Web Client to TickTrader platform. Provides you access to TickTrader platform through Web API <https://ttlivewebapi.fxopen.net:8443/api/doc/index>.
Helper function to install packages for R using an external requirements.txt or a string containing diverse packages from several resources like Github or CRAN.
Predicate logic with rule composition
Data needed by the affycomp package.
Shiny app for the fdapace package.
find the closest package.json
This package performs exploratory projection pursuit via REPPlab (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.
Robust covariance estimation for matrix-valued data and data with Kronecker-covariance structure using the Matrix Minimum Covariance Determinant (MMCD) estimators and outlier explanation using and Shapley values.