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future

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

gitgadget

Rstudio addin for version control and assignment management using git

linpk

math-solutions

Solutions to various math textbooks

pinstimation

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.

rlang

Low-level API for programming with R

rsnps

Wrapper to a number of SNP web APIs

rweekly.org

R Weekly