datafsm

datafsm-package

It relies on the GA package:
Luca Scrucca (2013). GA: A Package for Genetic Algorithms in R.
Journal of Statistical Software, 53 (4), 1-37.
URL <a href="https://www.jstatsoft.org/v53/i04/">https://www.jstatsoft.org/v53/i04/</a>.

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.

Gilligan Jonathan M.

Estimating Finite State Machine Models from Data

datafsm function

<code>datafsm</code>'s main function for estimating a fsm decision
model:<ol>
<li><code><a rd-options="" href="/link/evolve_model?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::evolve_model">evolve_model</a></code></li>
</ol><code>datafsm</code>'s helper functions:<ol>
<li><code><a rd-options="" href="/link/evolve_model_cv?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::evolve_model_cv">evolve_model_cv</a></code></li>
<li><code><a rd-options="" href="/link/var_imp?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::var_imp">var_imp</a></code></li>
<li><code><a rd-options="" href="/link/decode_state_mat?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::decode_state_mat">decode_state_mat</a></code></li>
<li><code><a rd-options="" href="/link/decode_action_vec?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::decode_action_vec">decode_action_vec</a></code></li>
<li><code><a rd-options="" href="/link/fitnessCPP?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::fitnessCPP">fitnessCPP</a></code></li>
<li><code><a rd-options="" href="/link/build_bitstring?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::build_bitstring">build_bitstring</a></code></li>
<li><code><a rd-options="" href="/link/compare_fsm?package=datafsm&version=0.2.4" data-mini-rdoc="datafsm::compare_fsm">compare_fsm</a></code></li>
</ol>

datafsm functions

It relies on the GA package:
Luca Scrucca (2013). GA: A Package for Genetic Algorithms in R.
Journal of Statistical Software, 53 (4), 1-37.
URL <a href='https://www.jstatsoft.org/v53/i04/'>https://www.jstatsoft.org/v53/i04/</a>.

datafsm: A package for estimating FSM models. — datafsm

<code>datafsm</code>'s main function for estimating a fsm decision
model:<ol>
<li><code><a rd-options='' href='evolve_model'>evolve_model</a></code></li>
</ol><code>datafsm</code>'s helper functions:<ol>
<li><code><a rd-options='' href='evolve_model_cv'>evolve_model_cv</a></code></li>
<li><code><a rd-options='' href='var_imp'>var_imp</a></code></li>
<li><code><a rd-options='' href='decode_state_mat'>decode_state_mat</a></code></li>
<li><code><a rd-options='' href='decode_action_vec'>decode_action_vec</a></code></li>
<li><code><a rd-options='' href='fitnessCPP'>fitnessCPP</a></code></li>
<li><code><a rd-options='' href='build_bitstring'>build_bitstring</a></code></li>
<li><code><a rd-options='' href='compare_fsm'>compare_fsm</a></code></li>
</ol>

datafsm: datafsm: A package for estimating FSM models.

Description

Arguments

datafsm functions

See Also