Title: dataframes2xls writes data frames to xls files
Description: dataframes2xls writes data frames to xls files. It supports multiple sheets and basic formatting.
Packaged: Mon Jun  9 20:12:14 2008; root

Packaged: Sat Jul 19 06:01:49 2008; root

Description: dataframes2xls writes data frames to xls files. It
supports multiple sheets and basic formatting.
Packaged: Thu Aug 20 14:41:47 2009; nerd

Packaged: Sat Aug 22 14:20:06 2009; root

Maintainer: Guido van Steen <vansteen@users.sourceforge.net>

Description: Writes data frames to xls files. It supports

Packaged: Sun Jun  8 10:57:12 2008; nerd

Package: datafsm
Title: Estimating Finite State Machine Models from Data
Version: 0.1.0
Date: 2015-09-07
Authors@R: 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") )
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 stochasticity.
URL: http://johnnay.github.io/datafsm/
BugReports: https://github.com/JohnNay/datafsm/issues
Depends: R (>= 3.1.1), methods, stats
License: MIT + file LICENSE
LazyData: true
LinkingTo: Rcpp
Suggests: doParallel, testthat, diagram, knitr
Imports: caret, GA, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2015-09-07 21:56:29 UTC; johnnaymacbook
Author: Nay John J. [cre, aut],
Gilligan Jonathan M. [aut]
Maintainer: Nay John J. <john.j.nay@gmail.com>
Repository: CRAN
Date/Publication: 2015-09-08 00:25:33