• CCalc

  • Referenced in 75 articles [sw09899]
  • part of Norman McCain’s dissertation, Causality in commonsense reasoning about actions (University of Texas ... State University, processes CCalc input using answer set solvers instead of SAT solvers...
  • CP-logic

  • Referenced in 17 articles [sw06947]
  • time is considered, the idea of a causal law as something which guides this evolution ... natural. In our formalization, a set of probabilistic causal laws can be used to represent...
  • MIM

  • Referenced in 129 articles [sw26139]
  • structure of dependencies, both associational and causal, between the variables in the model. This textbook ... Internet. Following an introductory chapter which sets the scene and describes some of the basic ... Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given...
  • dagitty

  • Referenced in 4 articles [sw16593]
  • dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs ... This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable...
  • GCCA

  • Referenced in 9 articles [sw07376]
  • MATLAB toolbox – ‘Granger causal connectivity analysis’ (GCCA) – which provides a core set of methods ... toolbox includes core functions for Granger causality analysis of multivariate steady-state and event-related...
  • Moviola

  • Referenced in 3 articles [sw27497]
  • programs via multi-shot answer set programming. The causal rejection-based update semantics assign meanings ... update semantics to logic programs of answer set programming (ASP), they have...
  • Causal Learner

  • Referenced in 1 article [sw37738]
  • Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data ... generating simulated Bayesian network data, a set of state ... global causal structure learning algorithms, a set of state-of-the-art local causal structure ... learning algorithms, a set of state-of-the-art MB learning algorithms, and functions...
  • JCI

  • Referenced in 2 articles [sw35495]
  • novel approach to causal discovery from multiple data sets from different contexts that elegantly unifies ... extend existing causal discovery methods for purely observational data to the JCI setting. We evaluate ... considerably outperform state-of-the-art causal discovery algorithms...
  • D2C

  • Referenced in 2 articles [sw14323]
  • directed causal link between two variables in multivariate settings with n>2 variables. The approach ... Markov blankets of two variables causally connected. The D2C algorithm predicts the existence ... direct causal link between two variables in a multivariate setting by (i) creating ... set of of features of the relationship based on asymmetric descriptors of the multivariate dependency...
  • NESTOR

  • Referenced in 27 articles [sw22096]
  • Computer-Based Medical Diagnostic Aid that Integrates Causal and Probabilistic Knowledge. n order to address ... likely diagnostic hypothesis to account for a set of patient findings. The domain of hypercalcemic...
  • sbw

  • Referenced in 10 articles [sw21948]
  • inverse probability weighting, are widely used for causal inference and estimation with incomplete outcome data ... appeal of such methods is that one set of weights can be used to estimate...
  • cin

  • Referenced in 1 article [sw23427]
  • valid statistical tools with causal interpretation under these challenging settings, without imposing model assumptions...
  • PARAFAC

  • Referenced in 22 articles [sw14789]
  • original observations by fitting a set of covariance matrices computed from the observations, with each ... factors found appear to correspond to the causal influences manipulated in the experiment, revealing their...
  • globalARTP

  • Referenced in 1 article [sw12409]
  • methodology in a set of scenarios with different numbers of causal SNPs with different effect ... show the advantage of using the gene set approach in the context of an Alzheimer...
  • iJulienne

  • Referenced in 6 articles [sw09903]
  • slicing criterion which consists of a set of target symbols occurring in a selected state ... able to track back reverse dependences and causality along the trace in order to incrementally...
  • ArCo

  • Referenced in 3 articles [sw27883]
  • set of functions to implement the the Artificial Counterfactual (ArCo) methodology to estimate causal effects...
  • nonlinearICP

  • Referenced in 1 article [sw36711]
  • extending ’Invariant Causal Prediction’ from Peters, Buehlmann and Meinshausen (2016), , to nonlinear settings. For more...
  • QCA

  • Referenced in 3 articles [sw25855]
  • temporal (’tQCA’), multi-value (’mvQCA’) and fuzzy sets (’fsQCA’), using a GUI - graphical user interface ... Boolean algorithm that results in a minimal causal combination that explains a given phenomenon...
  • SCTL-MUS

  • Referenced in 8 articles [sw02245]
  • causal temporal logic, referred to as Simple Causal Temporal Logic (SCTL), is defined ... behaviour, which has been specified through a set of SCTL requirements; and, secondly, to verify...
  • doseresponse

  • Referenced in 2 articles [sw30475]
  • Causal Inference from Incomplete-Data Perspectives, 73-84). Then we present a set of Stata...