DESCRIPTION

Package: PNetica
Version: 0.9-3
Date: 2023/08/20
Title: Parameterized Bayesian Networks Netica Interface
Author: Russell Almond
Authors@R: 
    person(given = "Russell",
           family = "Almond",
           role = c("aut", "cre"),
           email = "ralmond@fsu.edu",
           comment = c(ORCID = "0000-0002-8876-9337"))
Maintainer: Russell Almond <ralmond@fsu.edu>
Depends: R (>= 3.0), RNetica (>= 0.7), CPTtools (>= 0.5), Peanut (>= 0.8), methods
Imports: futile.logger
Suggests:     knitr,
    rmarkdown,
    tidyr,
    shiny
VignetteBuilder: knitr
Description: This package provides RNetica implementation of Peanut
    interface.This provides an implementation of the Peanut protocol using
    the Netica (RNetica) Bayesian network engine.  This allows parameters
    of parametric Bayesian network models written and Netica and using Peanut to be
    processed with R tools, and the parameter saved in the Netica objects.   
License: Artistic-2.0 
URL: http://pluto.coe.fsu.edu/RNetica
Support: c(
   'Bill & Melinda Gates Foundation grant
   "Games as Learning/Assessment:  Stealth Assessment" (#0PP1035331,
   Val Shute, PI)',
   'National Science Foundation grant "DIP:
   Game-based Assessment and Support of STEM-related Competencies"
   (#1628937, Val Shute, PI)',
   'National Science Foundation grant "Mathematical Learning via
   Architectural Design and Modeling Using E-Rebuild." (\#1720533,
   Fengfeng Ke, PI)',
   'Institute of Educational Statistics Grant: "Exploring adaptive cognitive and affective learning support for next-generation STEM learning games." (#R305A170376-20, Val Shute and Russell Almond, PIs')