email = "john.j.nay@gmail.com", role = c("aut")),
email = "jonathan.gilligan@vanderbilt.edu", role = c("cre", "aut")))
Description: Our method automatically generates 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
Suggests: doParallel, foreach, testthat, diagram, knitr
Maintainer: Gilligan Jonathan M. <jonathan.gilligan@vanderbilt.edu>

Suggests: doParallel, foreach, testthat (>= 1.0.2), diagram, knitr

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
Suggests: doParallel, foreach, testthat (>= 1.0.2), diagram, knitr,

rmarkdown, pander, dplyr, tidyr (>= 1.0), purrr

c(person(given = c("John", "J."), family = "Nay",
person(given = c("Jonathan", "M."), family = "Gilligan",
Suggests: doParallel (>= 1.0), foreach (>= 1.5), testthat (>= 3.0),
diagram (>= 1.6), knitr (>= 1.33), rmarkdown (>= 2.8), pander
Maintainer: Jonathan M. Gilligan <jonathan.gilligan@vanderbilt.edu>

Description: This wrapper allows the user to communicate with more than
80,000 API posted on data.gov.in - open data
platform of the government of India <https:data.gov.in/ogpl_apis>.
It also allows the user to search for the API required through the universe
of the API with a better interface than the one the official website provides.
Once a user has the ID by using the API discovery functionalities,
it allows one to converse with the API using a consistent format across all
Imports: curl, dplyr, httr, magrittr, plyr, stringr, rlang