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carl-lib's Issues

Handle Simplest Query with Confounding

Be able to handle a query of the form Y[x] <- T[x]? for a ground causal model including only Y, T, and Q nodes, where Q is a confounder.

Status:

  • language
  • grounding
  • embedding
  • detection
  • unit-table
  • estimation

Handle Trivial Query

Be able to handle a query of the form Y[x] <- T[x]? for a ground causal model including only Y and T nodes.

Status:

  • language
  • grounding
  • embedding
  • detection
  • unit-table
  • estimation

testable implications

every causal model makes testable implications w.r.t. the conditional independences in the data. We should check if these independences hold and warn the user otherwise.

Support GROUP-BY in Causal Queries

Allow for queries that look like this:

Acceptance[P] <- Prestige[A] WHERE Author(P, A), Published(C, P)
    GROUP BY Conference_Blinding[C]?

Where the output is something like this:

'Single': 0.25
'Double': 0.02

Make internal structs opaque

The structs in expander.rkt are declared #:transparent for ease of debugging. Once carl-lib is usable by end-users, this should be removed.

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