Title: An Interface to Specify Causal Graphs and Compute Bounds on
person("Michael C", "Sachs", role = c("aut", "cre"), email = "sachsmc@gmail.com"),
person("Erin E", "Gabriel", role = "aut"),
person("Arvid", "Sjölander", role = "aut"),
person("Alexander A", "Balke", role = "ctb",comment ="(C++ code)"),
person("Colorado", "Reed", role = "ctb", comment = "(graph-creator.js)")
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Description: When causal quantities are not identifiable from the observed data, it still may be possible
to bound these quantities using the observed data. We outline a class of problems for which the
derivation of tight bounds is always a linear programming problem and can therefore, at least
theoretically, be solved using a symbolic linear optimizer. We extend and generalize the
a user friendly graphical interface for setting up such problems via directed acyclic
graphs (DAG), which only allow for problems within this class to be depicted. The user can
then define linear constraints to further refine their assumptions to meet their specific
problem, and then specify a causal query using a text interface. The program converts this
user defined DAG, query, and constraints, and returns tight bounds. The bounds can be
converted to R functions to evaluate them for specific datasets, and to latex code for
publication. The methods and proofs of tightness and validity of the bounds are described in
a preprint by Sachs, Gabriel, and Sjölander (2020)
Imports: methods, Rcpp (>= 1.0.1), shiny

person("Gustav", "Jonzon", role = "ctb", comment = "(improved vertex enumeration)"),
Imports: methods, Rcpp (>= 1.0.1), shiny, rcdd
Gustav Jonzon [ctb] ((improved vertex enumeration)),

a preprint by Sachs, Gabriel, and Sjölander (2021)

Title: Selection Bias Approach to Sensitivity Analysis for Causal
Description: The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.
Packaged: 2015-06-30 19:48:16 UTC; mblackwell