initialise_payoffs: Create a value matrix for utility calculations

In neilbramley/acl_source: Functions for active causal learning

Description

This function creates a value matrix for calculating the utility of endorsing a particular graph given your prior Requires hypothesis graphs g to be in data.frame form in the environment Requires valid proposal space vps to be in data.frame form in the environment too

Usage

initialise_payoffs(r = 20, w = -10, m = -10, f = 0, b = 0)

Arguments

r	Value link correctly endorsed, defaults to 20
w	Value link incorrectly endorsed, defaults to -10
m	Value link incorrectly not endorsed, defaults to -10
f	Value link correctly not endorsed, defaults to 0
b	Bonus completely correct, defaults to 0

Examples

vps<-g
initialise_payoffs()

neilbramley/acl_source documentation built on May 29, 2019, 6:53 p.m.