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CPTtools - Tools for Creating Conditional Probability Tables

Provides support parameterized tables for Bayesian networks, particularly the IRT-like DiBello tables. Also, provides some tools for visualing the networks.

Last updated

bayesian-networkstatistics

5.07 score 1 stars 4 dependents 22 scripts

RNetica - R interface to Netica(R) Bayesian Network Engine

This provides an R interface to the Netica (http://norsys.com/) Bayesian network library API.

Last updated

bayesian-network

4.62 score 2 stars 2 dependents 14 scripts

Proc4 - Four Process Assessment Database and Dispatcher

Utilities for working with messages in the four four process architecture as json objects.

Last updated

assessment-scoringevidence-centered-designmongodb-database

3.95 score 2 dependents

mongo - Higher level interface to Mongo database

This is a wrapper for the jsonlite and mongolite packages which offers both an R6 object for managing the connection as well as some mechanisms for saving and restoring S4 objects to a Mongo database.

Last updated

3.65 score 3 dependents

Peanut - Parameterized Bayesian Networks, Abstract Classes

This provides support of learning conditional probability tables parameterized using CPTtools. This provides and object oriented layer on top of a CPTtools, to facilitate calculations with Parameterized models for Bayesian networks. Peanut is a collection of abstract classes and generic functions defining a protocol, with the intent that the protocol can be implemented with different Bayes net engines. The companion pacakge PNetica provides an implementation using Netica and RNetica.

Last updated

bayesian-networkknowledge-representation

2.48 score 1 stars 2 dependents 5 scripts

EIEvent - Evidence Identification Event Processing Engine

Extracts observables from a sequence of events. Uses a prolog-like rule language to do the extraction, written in JSON.

Last updated

assessment-scoringevidence-centered-design

2.00 score 2 scripts

PNetica - Parameterized Bayesian Networks Netica Interface

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.

Last updated

bayesian-network

1.98 score 1 stars 19 scripts

EABN - Evidence Accumulation Bayes Net Engine

Extracts observables from a sequence of events.

Last updated

assessment-scoringbayesian-networkevidence-centered-design

1.00 score 3 scripts