tibble, data.table, magrittr, openxlsx, dplyr, plyr, tidyr,
stringr

dataframes2xls writes data frames to xls files
dataframes2xls writes data frames to xls files. It supports multiple sheets and basic formatting.

dataframes2xls writes data frames to xls files. It
supports multiple sheets and basic formatting.

Writes data frames to xls files. It supports
multiple sheets and basic formatting.

Estimating Finite State Machine Models from Data
c( person("Nay", "John J.", email = "john.j.nay@gmail.com", role =
c("cre", "aut")), person("Gilligan", "Jonathan M.", email =
"jonathan.gilligan@vanderbilt.edu", role = "aut") )
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 stochasticity.
Nay John J. [cre, aut],
Gilligan Jonathan M. [aut]

c( person("Nay", "John J.",
email = "john.j.nay@gmail.com", role = c("aut")),
person("Gilligan",  "Jonathan M.",
email = "jonathan.gilligan@vanderbilt.edu", role = c("cre", "aut")))
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
stochasticity.
doParallel, foreach, testthat, diagram, knitr
Nay John J. [aut],
Gilligan Jonathan M. [cre, aut]