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datafsm
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.datafsm . https://github.com/jonathan-g/datafsm/issues . https://jonathan-g.github.io/datafsm/ . https://github.com/jonathan-g/datafsm . datafsm citation info . datafsm results . datafsm.pdf . Introduction to datafsm . datafsm_0.2.4.tar.gz . datafsm_0.2.4.zip . datafsm_0.2.4.zip . datafsm_0.2.4.zip . datafsm_0.2.4.tgz . datafsm_0.2.4.tgz . datafsm_0.2.4.tgz . datafsm_0.2.4.tgz . datafsm_0.2.4.tgz . datafsm_0.2.4.tgz . datafsm archive . https://CRAN.R-project.org/package=datafsm .
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 29 Mar. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for datafsm
Functions, R codes and Examples using
the datafsm R package
Some associated functions: NV_games . action_vec . add_interact_num . best_performance . build_bitstring . compare_fsm . datafsm . decode_action_vec . decode_state_mat . degeneracy_check . estimation_details . evolve_model . evolve_model_cv . evolve_model_ntimes . find_wildcards . fitnessCPP . ga_fsm-class . performance . states . varImp . var_imp .
Some associated R codes: RcppExports.R . build_bitstring.R . class_def.R . compare_fsm.R . data.R . datafsm.R . decode_action_vec.R . decode_state_mat.R . degeneracy_check.R . evolve_model.R . evolve_model_cv.R . evolve_model_ntimes.R . var_imp.R . Full datafsm package functions and examples
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