NEWS.md

In causaloptim: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects

causaloptim 0.9.8

• complete refactor of shiny app (@gjo11)
• add tests for shiny ui and server components (@gjo11)
• update documentation and clean up exports (@gjo11)

causaloptim 0.9.7

• More fixes to snprintf and LEN_LABEL
• Fixed warnings from Balke's old cpp code
• update bibentry

causaloptim 0.9.3

• Minor bug fixes in Balke's old code (sprintf -> snprintf)
• removed methods vignette and linked to published article instead (it is open access, please email me if you can't access it)
• bugfix to ensure parameters get removed if constraints make them impossible

causaloptim 0.9.2

bug fixes

• Fixed parsing issue in latex_bounds

causaloptim 0.9.2

bug fixes

• Fixed c++ compiler warning about length of buffer in Tableau.cpp

causaloptim 0.9.1

More big new features!

• categorical variables are now handled
• Update shiny UI to enable specification of categorical variables
• Update draft of methods paper in vignette

bug fixes

• Fixed propagation of intervention sets downstream when there are crossed effects

causaloptim 0.8.2

Big new features!

• Major update to the vertex enumeration algorithm (thanks to @gjo11). There is a new function called optimize_effect_2 which uses the rcdd package to enumerate the vertices. This is significantly faster than Balke's C++ code. This function is used by default in the shiny app. There are some minor differences in how the bounds are displayed, and note that the display of the vertices within MIN and MAX may differ from optimize_effect. The bounds are equivalent (just in a different order) in all of the test cases that we have looked at.
• New vignette explaining how the optimization was implemented (also thanks to @gjo11)

Small features

• interpret_bounds returns function that will now give a warning if bounds are invalid.
• Pull steps of analyze_graph out into separate modules.

Bugfixes

• Make sure that qs are unique in large problems

causaloptim 0.7.1

Bugfixes

• Propagation of intervention set when not all paths are defined
• Checking for violations of condition 6 in effect

New features

• Additional information returned from analyze_graph
• Better printing for analyze_graph objects

causaloptim 0.6.5

Bugfixes

• Fixed mismatched new/delete/delete[] in C++ code

causaloptim 0.6.4

Bugfixes

• Parse effect fixed for joint outcome probabilities.
• Added examples
• Update description

causaloptim 0.6.3

Bugfixes

• Refactor algorithm 1 so that it works correctly for unobserved variables
• Fix probability printing in shiny app for unobserved variables

causaloptim 0.6.2

Bugfixes

• Fixed repeated qs bug that affects graphs with multiple variables on left side
• Added citation file

causaloptim 0.6.1

Minor updates

• Allow user interrupt in long-running c++ loops
• Increase maximum number of vertices
• Added progress indicator to shiny app
• Update dependencies

causaloptim 0.6.0

New features

• Allow for observed variables in the causal effect. E.g., for the treatment effect among the treated p{Y(X = 1) = 1; X = 1} - p{Y(X = 0) = 1; X = 1}

causaloptim 0.5.3

Bugfixes

• Fixed warnings on CRAN check
• Added travis ci
• Lowercase min and max in latex
• Additional documentation on shiny app

causaloptim 0.5.2

Bugfixes

• Better reset functionality in shiny app

causaloptim 0.5.1

New features

• button to print latex code in shiny app
• Checking for intervention set children to be on rightside
• Other error checks and bugfixes

causaloptim 0.5.0

New features

• latex printing of bounds

causaloptim 0.4.1

Bug fixes

• Bugfixes in parsing bounds
• CRAN checks

New features

• Error checking in parse effect and parse constraints in shiny app

causaloptim 0.3.0

Rebuilt interface, text based now.

causaloptim documentation built on Nov. 2, 2023, 6:06 p.m.