CRAN/E | PINstimation

PINstimation

Estimation of the Probability of Informed Trading

Installation

About

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.

www.pinstimation.com
github.com/monty-se/PINstimation
Bug report File report

Key Metrics

Version 0.1.2
R ≥ 3.5.0
Published 2023-03-20 401 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks PINstimation results
Language en-US

Downloads

Yesterday 14 +75%
Last 7 days 75 +29%
Last 30 days 245 -4%
Last 90 days 808 -13%
Last 365 days 3.059 +25%

Maintainer

Maintainer

Montasser Ghachem

montasser.ghachem@pinstimation.com

Authors

Montasser Ghachem

aut / cre / cph

Oguz Ersan

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Get started with PINstimation
Parallel processing in PINstimation
Sample datasets

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PINstimation archive

Depends

R ≥ 3.5.0

Imports

Rdpack
knitr
methods
skellam
nloptr
furrr
future
dplyr
rmarkdown
coda

Suggests

fansi
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