All R packages

Found 34909 packages. Showing results 15401 to 15450.

A workflow template for creating a research website
Interact with Google Analytics using R
Google Calendar API client for R
Google Prediction API client for R
Google Analytics Real-time API client for R
j-Differential Evolution Optimization
Plotting and other utility functions for working with differential expression data.
A collection of plotting functions.
Methods to read and convert between different file formats used in genetics/genomics.
Functions to work directly with raw genotype array intensity data.
Tools to simplify writing knitr documents.
Helpers for creating laboratory protocols.
Adds friendly and familiar infix regular expression operators to R.
Miscellaneous R classes and functions I use frequently.
Wrapper for the re2 regular expression library.
Implementations of statistical tests that I haven't found in other R packages.
Plotting up the h-index Over Time
Monte Carlo Option Pricing Algorithm for Jump Diffusion Model with Correlation Companies
Manage data from the CPC Unified Gauge-Based Analysis of Global Daily Precipitation data set
Compare Intense Rainfall in Gridded Data Products
Basic R Functions I Use All the Time
Efficiently Store and Query a Library of the NCAR/NCEP Reanalysis Data You Use All the Time
Extraction of Differential Gene Expression
Q-value estimation for false discovery rate control
Import Historical Data from Brazilian Meteorological Stations
Another JSON Schema Validato.R
Extraction of Statistically Significant Communities
Network Surveillance via the Degree Corrected Stochastic Block Model
Gradient and Vesselness Tools for Arrays and NIfTI Images
Download catalog and prices from Autocosmos website
What the Package Does (Title Case)
What the Package Does (Title Case)
Parametric Bootstrapping to Control Rank Conditional Coverage
Replicate simulations in "Rank conditional coverage and confidence intervals in high dimensional problems" by Jean Morrison and Noah Simon.
Sherlock2 model using Ash
Heuristics Including Take the Best and Unit-Weight Linear
Machine Learning Predictive Analysis for Stocks
Portfolio Analysis using Optimization and Machine Learning.
Deal with world
Catchment data
City data
Grid datasets
River data
time data manipulation

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.