Other packages > Find by keyword >

adaptivetau  

Tau-Leaping Stochastic Simulation
View on CRAN: Click here


Download and install adaptivetau package within the R console
Install from CRAN:
install.packages("adaptivetau")

Install from Github:
library("remotes")
install_github("cran/adaptivetau")

Install by package version:
library("remotes")
install_version("adaptivetau", "2.3-2")



Attach the package and use:
library("adaptivetau")
Maintained by
Philip Johnson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-10-20
Latest Update: 2024-10-24
Description:
Implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics (aka. the Gillespie stochastic simulation algorithm). This package is based upon work supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and NIH R01-AI049334 to Rustom Antia.
How to cite:
Philip Johnson (2010). adaptivetau: Tau-Leaping Stochastic Simulation. R package version 2.3-2, https://cran.r-project.org/web/packages/adaptivetau. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.9 (2010-10-20 09:19), 0.901 (2010-11-13 17:22), 0.902 (2011-01-03 13:33), 1.0 (2012-04-10 06:59), 1.1-1 (2013-11-11 16:46), 1.1 (2013-07-28 08:22), 2.0 (2014-03-24 16:55), 2.1 (2014-05-08 16:45), 2.2-1 (2016-10-25 00:43), 2.2-2 (2019-03-12 10:57), 2.2-3 (2019-03-19 23:53), 2.2 (2014-11-19 23:10), 2.3-1 (2024-04-17 22:30), 2.3 (2023-11-28 18:40)
Other packages that cited adaptivetau R package
View adaptivetau citation profile
Other R packages that adaptivetau depends, imports, suggests or enhances
Complete documentation for adaptivetau
Functions, R codes and Examples using the adaptivetau R package
Some associated functions: ssa.adaptivetau . ssa.exact . ssa.maketrans . 
Some associated R codes: ssa.adaptivetau.R .  Full adaptivetau package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ptycho  
Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a pr ...
Download / Learn more Package Citations See dependency  
generator  
Generate Data Containing Fake Personally Identifiable Information
Allows users to quickly and easily generate fake data containing Personally Identifiable Informatio ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
candisc  
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical c ...
Download / Learn more Package Citations See dependency  
vars  
VAR Modelling
Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error varia ...
Download / Learn more Package Citations See dependency  

26,270

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA