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datafsm  

Estimating Finite State Machine Models from Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("datafsm", "0.2.4")



Attach the package and use:
library("datafsm")
Maintained by
Jonathan M. Gilligan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-08
Latest Update: 2021-05-29
Description:
Automatic generation of finite state machine models of dynamic decision-making that both have strong predictive power and are interpretable in human terms. We use an efficient model representation and a genetic algorithm-based estimation process to generate simple deterministic approximations that explain most of the structure of complex stochastic processes. We have applied the software to empirical data, and demonstrated it's ability to recover known data-generating processes by simulating data with agent-based models and correctly deriving the underlying decision models for multiple agent models and degrees of stochasticity.
How to cite:
Jonathan M. Gilligan (2015). datafsm: Estimating Finite State Machine Models from Data. R package version 0.2.4, https://cran.r-project.org/web/packages/datafsm. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2015-09-08 00:25), 0.2.0 (2017-06-17 16:40), 0.2.1 (2017-10-20 08:26), 0.2.2 (2018-08-09 00:40), 0.2.3 (2019-11-29 00:00)
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Complete documentation for datafsm
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