Balke’s legacy C++ code is no longer supported. Vertex enumeration
is now always done with rcdd
New interface to specify a causal model without an effect. Also
derivation of observable constraints and checking of linearity
Various bug fixes and improvements
causaloptim 0.10.0
experimental functionality for automated linearity checking
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