causact 0.6.0

causact 0.6.0

• Updated dag_numpyro() to address compatibility issues with JAX 0.7.1, resolving the error:
  ImportError: cannot import name 'pjit_p' from 'jax.experimental.pjit'.
• Removed the dependency on Python’s arviz package to improve long-term compatibility across Python environments. The arviz dependency has introduced bugs in past releases and remains unstable in its current version.
• Revised dag_plotp() to suppress warning messages triggered by recent updates to ggplot2.

causact 0.5.8

• patch release to support changes to object types in ggplot2.

causact 0.5.6

• patch release to fix numpyro integration issues. The default installation workflow now uses numpyro==0.16.1 to avoid TypeError when using a discrete data distribution, e.g. Bernoulli.

causact 0.5.5

• 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

• 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

• 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

• 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

• 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

• 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

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

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

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

• 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.