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cfid 0.1.7

• Fixed some formulas having incorrect variables indicated as summation variables.

cfid 0.1.6

• Summation variables are now properly distinguished from query variables in the output formulas of identifiable().
• Inputs for causal_effects() are now validated.
• Fixed a rare issue that could result in duplicate variables in the output distributions.
• Fixed an issue where some identifiable but inconsistent queries were reported as nonidentifiable.

cfid 0.1.5

• Added missing value assignments to the query for causal_effect().

cfid 0.1.4

• Fixed an issue related to fixed variables in the counterfactual graph.
• Fixed an issue related to counterfactual graph generation and equivalence of random variables.
• Now uses lower case and snake case for classes.
• Added the ID and IDC algorithms for a full identification pipeline. These algorithms can be used directly via causal_effect().
• The syntax used by dag() is now more flexible, allowing edges within subgraph definitions and nested subgraphs.
• Dropped dependency on R version 4.1.0.
• Improved the package documentation.
• Changed the default value of var_sep argument.

cfid 0.1.3

• An identifiable conditional counterfactual of the form P(gamma)/P(gamma) will have value 1 instead of the formula.
• Fixed an error when identifying conditional counterfactuals that had common counterfactual variables.
• Inputs for identifiable() are now checked more thoroughly.
• Added additional package tests.
• Further refined documentation in general.
• Fixed an internal indexing issue when no bidirected edges were present in a DAG.
• Added documentation for format.probability() with examples.
• Added citation to Shpitser and Pearl (2007). “What counterfactuals can be tested”.
• The package now correctly lists dependency on R >= 4.1.0.
• Added NEWS.

cfid 0.1.2

• Added package documentation.
• Improved documentation of existing functions.
• Added support for more graph export formats.

cfid v0.1.0

• Initial version.

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They may not be fully stable and should be used with caution. We make no claims about them.
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