natPosition: R6 class that defines DBNs as vectors of natural numbers
In dbnR: Dynamic Bayesian Network Learning and Inference

natPosition

R Documentation

R6 class that defines DBNs as vectors of natural numbers

Description

Constructor of the 'natPosition' class

Translate the vector into a DBN network

Uses this object private cl and transforms it into a DBN.

Add a velocity to the position

Given a natVelocity object, add it to the current position.

Return the static node ordering

This function takes as input a dbn and return the node ordering of the variables inside a timeslice. This ordering is needed to understand a position vector.

Translate a DBN into a position vector

This function takes as input a network from a DBN and transforms the structure into a vector of natural numbers if it is a valid DBN. Valid DBNs have only inter-timeslice edges and only allow variables in t_0 to have parents.

Generates a random position

This function takes as input the number of variables, the maximum size and the parameter p and returns a random position with arcs sampled either from the uniform distribution or from a truncated geometric distribution. Much faster than the binary implementation with lists of lists and random bn generation into translation.

Recount the number of arcs in the cl

Arguments

`nodes`	a vector with the names of the nodes
`ordering`	a vector with the names of the nodes in t_0
`ordering_raw`	a vector with the names of the nodes without the appended "_t_0"
`max_size`	Maximum number of timeslices of the DBN
`vl`	a natVelocity object
`net`	a dbn object
`n_vars`	the number of variables in t_0
`p`	the parameter of the truncated geometric sampler. If lesser or equal to 0, a uniform distribution will be used instead.

Details

A natPosition represents a single HO-DBN structure with a vector. Its function is to encode the solutions in the PSO framework. Each particle will have a position.