causal-hub 0.0.5

A library for causal models, inference and discovery.
Documentation 
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network survey {
}
variable A {
  type discrete [ 3 ] { young, adult, old };
}
variable S {
  type discrete [ 2 ] { M, F };
}
variable E {
  type discrete [ 2 ] { high, uni };
}
variable O {
  type discrete [ 2 ] { emp, self };
}
variable R {
  type discrete [ 2 ] { small, big };
}
variable T {
  type discrete [ 3 ] { car, train, other };
}
probability ( A ) {
  table 0.3, 0.5, 0.2;
}
probability ( S ) {
  table 0.6, 0.4;
}
probability ( E | A, S ) {
  (young, M) 0.75, 0.25;
  (adult, M) 0.72, 0.28;
  (old, M) 0.88, 0.12;
  (young, F) 0.64, 0.36;
  (adult, F) 0.7, 0.3;
  (old, F) 0.9, 0.1;
}
probability ( O | E ) {
  (high) 0.96, 0.04;
  (uni) 0.92, 0.08;
}
probability ( R | E ) {
  (high) 0.25, 0.75;
  (uni) 0.2, 0.8;
}
probability ( T | O, R ) {
  (emp, small) 0.48, 0.42, 0.10;
  (self, small) 0.56, 0.36, 0.08;
  (emp, big) 0.58, 0.24, 0.18;
  (self, big) 0.70, 0.21, 0.09;
}