I am reading through some books regarding Bayesian Networks, I have been out of the loop in my probability basics, but I can't for the life of me understand how having
P(+A) = 0.2 and P(-A) = 0.8
I have in this (other example) table
P(+c |+A) = 0.85
P(-c |+A) = 0.15
P(+c |-A) = 0.333
P(-c |-A) = 0.667
I can't find how to get the value of -c and +c given only A. I know this is some basic stuff, I have been following different tutorials online,I even bought a couple of books to properly understand this, but I am having a harder time than normal grasping the basics of this. Any pointers would be really helpful.