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BoolFilter  

Optimal Estimation of Partially Observed Boolean Dynamical Systems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BoolFilter", "1.0.0")



Attach the package and use:
library("BoolFilter")
Maintained by
Levi McClenny
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-09
Latest Update: 2017-01-09
Description:
Tools for optimal and approximate state estimation as well as network inference of Partially-Observed Boolean Dynamical Systems.
How to cite:
Levi McClenny (2017). BoolFilter: Optimal Estimation of Partially Observed Boolean Dynamical Systems. R package version 1.0.0, https://cran.r-project.org/web/packages/BoolFilter. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.0 (2017-01-09 17:11), (2026-07-09 07:59)
Other packages that cited BoolFilter R package
View BoolFilter citation profile
Other R packages that BoolFilter depends, imports, suggests or enhances
Complete documentation for BoolFilter
Functions, R codes and Examples using the BoolFilter R package
Some associated functions: BKF . BKS . BoolFilter-package . MMAE . SIR_BKF . melanoma . p53net_DNAdsb0 . p53net_DNAdsb1 . plotTrajectory . simulateNetwork . 
Some associated R codes: generateM.R . simulateNetwork.R . updateNegativeBinom.R . updatePoisson.R .  Full BoolFilter package functions and examples
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