orderp_covar: Order-preserving co-variation scheme
In rramsiya/bnsens: Sensitivity analysis for discrete data in Bayesian networks

Description Usage Arguments Details See Also

View source: R/orderp_covariation.R

orderp_covar returns an updated Bayesian network using order-preserving co-variation scheme

1	orderp_covar(bnfit, node, value_node, value_parents, new_value)

`bnfit`	object of class bn.fit
`node`	character string. Node of which the conditional probability distribution is being changed.
`value_node`	character string. Level of `node`.
`value_parents`	character string. Levels of `node`'s parents. The levels should be defined according to the order of the parents in `bnfit[[node]][["parents"]]`. If `node` has no parents, then should be set to `NULL`.
`new_value`	numeric value between 0 and 1. Value to which the parameter should be updated.

The Bayesian network on which parameter variation is being conducted should be expressed as a bn.fit object. The name of the node to be varied, its level and its parent's level should be specified. The parameter variation specified by the function is:

P ( node = value_node | parents = value_parents ) = new_value

It should be noted that if two or more parameters in a distribution have the same value, the order is given by the one in the respective conditional probability table.

Other co-variation schemes: proportional_covar, uniform_covar

rramsiya/bnsens documentation built on Sept. 30, 2020, 3:28 p.m.