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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

4.51 score 1 stars 1 dependents 24 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

3.65 score 1 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

3.48 score 2 dependents

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

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

1.70 score 1 stars 5 scripts

ACED - The ACED data set

This packages the data from the ACED project.

Last updated

1.60 score 1 scripts