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StochSimR

1.1.0

Stochastic Process Simulation Engine

0packages depend
756downloads / year
71.9%test coverage
13/13checks pass

Overview

About
Maintained by Ayush KunduFirst published 2026-06-011 releasesCRAN page ↗GitHub ↗

A modular simulation engine for a wide range of stochastic processes. Provides exact and approximate simulation methods for Poisson processes (homogeneous and inhomogeneous), Brownian motion (standard, drifted, and bridge), discrete- and continuous-time Markov chains, birth-death processes, the Yule pure-birth process, infinitesimal generator matrix utilities, Markovian queuing systems (M/M/1, M/M/c, M/M/c/K) with exact steady-state statistics, Levy processes (gamma, normal inverse Gaussian, variance-gamma, alpha-stable), Merton jump-diffusion models, Hawkes self-exciting processes, geometric Brownian motion, and Ornstein-Uhlenbeck mean-reverting diffusions. Includes variance reduction techniques (antithetic variates, control variates, importance sampling, stratified sampling), parallel simulation via the 'future' framework, rare-event simulation (cross-entropy and multilevel splitting), path visualisation, and summary statistics. Methods are based on Glasserman (2003) doi:10.1007/978-0-387-21617-1, Asmussen & Glynn (2007) doi:10.1007/978-0-387-69033-9, Norris (1997) doi:10.1017/CBO9780511810633, and Kleinrock (1975, ISBN:0471491101).

Install

Health

CRAN checks
13OK
Slowest check: 3.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.19
71.9%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-02
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 121 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
97%
Documented parameters
100%
Return-value docs
100%
References docs
47%

Downloads

756
CRAN downloads in the past year
Rank #13,625 · ~2/day · ~63/mo
Daily download trend is not available in this view yet.
15730 days
75690 days
7561 year
Compare downloads with other packages →
Also on16 r2u

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-04-01

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/ayush291202/stochsimr on 2026-08-09.

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 1.1.0Latest
    2026-06-01 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-01
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("StochSimR")
Kundu, A. (2026). StochSimR: Stochastic Process Simulation Engine (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.StochSimR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for StochSimR version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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