NEWS

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causact 0.5.5 (2024-04-24)

• patch release to fix installation issues. The default installation workflow now uses scipy==0.12 to avoid error cannot import name 'gaussian' from 'scipy.signal'.

causact 0.5.4 (2024-02-25)

• patch release to fix installation issues. The default installation workflow now uses numpyro==0.13.2 to avoid ModuleNotFoundError: No module named 'jax.linear_util'.

causact 0.5.3 (2023-09-05)

• Fixed bug where beta distribution was being treated as Laplace distribution.
• Fixed bug where nested plated were being indexed incorrectly in Python.

causact 0.5.2 (2023-08-19)

• Switched inference to Python's numpyro
• dag_greta() is now deprecated; dag_numpyro() should be used as a drop-in replacement.
• Added helper function for Python dependencies: install_causact_deps.
• Updated documentation to reflect switch to numpyro.
• Added ability to choose fill of nodes during dag_render().
• Added causact probability distribution functions. See ?causact::distributions.
• Temporarily removed support for the dim argument of probability distributions.

causact 0.4.2 (2022-06-14)

• Added `vignette("narrative-to-insight-with-causact") to introduce the package's encouraged user workflow.
• Allow greta::variable() to be used for flat priors.

causact 0.4.1 (2022-01-19)

• Fixed bugs introduced by changes in tidyr::replace_na().
• Fixed bug related to rendering generative DAGs where two variables were both on multiple plates.

causact 0.4.0 (2021-01-25)

Minor improvements and fixes

• Support for using greta matrix operations like %*% and other greta functions within the rhs argument of the dag_node function has been added.
• The readme has been updated to include a mixture example.

causact 0.3.3 (2020-07-25)

Minor improvements and fixes

• Small graphs without an rhs argument supplied to dag_node() displayed a dplyr warning message.
• Exported meaningfulLabels() function for users who are using code generated by dag_greta(mcmc=FALSE).

causact 0.3.2 (2020-07-09)

Minor improvements and fixes

• dag_render() displayed weird DAGs when users have dplyr (>=v1.0) installed. Isolated problem to changes in dplyr::group_indices() and dplyr::bind_cols that caused a jumbling of node id's.
• Updated README.md to display images and give CRAN install instructions.

causact 0.3.1 (2020-06-24)

• Initial release for CRAN
• Biggest change from previous development versions is that dag_greta() now returns a dataframe as opposed to creating variables in your global environment.