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
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.