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.

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.

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.