NEWS

dagR 2021-10-08

version 1.2.0 to 1.2.1 - documentation house keeping
added dag.sim2 - extends the functionality of dag.sim - binary nodes can be simulated based on linear risk difference model - for both this new specification and the previously available simulations based on the logistic model, the success probability can now be specified either for the overall cohort (as before) or for the reference category (i.e., where the summed up weighted predictors equal 0) - most dag.sim calls should be compatible with dag.sim2, but both functions will be available for the time being

version 1.1.3 to 1.2.0 - added generic print, plot, and summary functions - added a function to create dagitty syntax from a dagR DAG

version 1.1.1 to 1.1.2
dag.draw - new option to allow NOT drawing the X->Y arc, or drawing it w/out "?"
changes to multiple functions to allow custom node symbols - no special formatting has been programmed, i.e. the string length is ignored - affected functions: dag.draw, dag.init, dag.legend, dag.letter, write.paths, summary_dagRdag
dag.letter - added note on adjustment marking by bar/underline (not for unknowns) in docu.
new function: demo.dag7 - same as demo.dag3, but with alternative node symbols

version 1.0.1 to 1.1.1
removed empty sections from .Rd files
dag.init - now adds version of dagR to the DAG - now assigns class "dagRdag" - elaborated documentation regarding node numbering
rm.node, add.arc, rm.arc - now also remove searchType and searchRes
dag.adjust - if adjustment set not empty, now also removes searchType and searchRes - elaborated documentation regarding node numbering
is.acyclic - new argument: maxSecs
new function: viv
new function: msas
new function: dag.search
new function: summary_dagRdag OPEN ISSUES
brute.search - has trouble if there are no eligible adjustment sets to evaluate (e.g. only unknown variables, but allow.unknowns=FALSE)
dag.draw - for some reason, this sometimes has a problem because components of dag$arc strangely become lists instead of numeric
dag.letter - unknowns are not shown with adjustment marking
helper functions should go internal...
more recently, better algorithms used to identify open backdoor paths have been published and should be implemented in dagR (or at least improve pertinent interface to dagitty)
add function to convert dagitty/ggdag DAG objects to dagR objects
extend simulation capacities to additional distributions (trying not to break backwards compatibility?) and convenient repeated sampling (output list?)