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