• TETRAD

  • Referenced in 412 articles [sw12177]
  • estimates, tests, predicts with, and searches for causal and statistical models...
  • MIM

  • Referenced in 129 articles [sw26139]
  • structure of dependencies, both associational and causal, between the variables in the model. This textbook ... Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given ... causal interpretation. This book will provide a useful introduction to this topic for students...
  • CCalc

  • Referenced in 78 articles [sw09899]
  • Causal Calculator (CCalc) is a system for representing commonsense knowledge about action and change ... implements a fragment of the causal logic described in the paper ”Nonmonotonic causal theories ... part of Norman McCain’s dissertation, Causality in commonsense reasoning about actions (University of Texas...
  • pcalg

  • Referenced in 88 articles [sw06072]
  • package pcalg: Estimation of CPDAG/PAG and causal inference using the IDA algorithm , Standard and robust ... available for estimating PAGs. Functions for causal inference using the IDA algorithm (based...
  • CreditRisk+

  • Referenced in 44 articles [sw31697]
  • correlated, even though there is no causal link between them. The effects of these background...
  • CP-logic

  • Referenced in 17 articles [sw06947]
  • logic: A language of causal probabilistic events and its relation to logic programming This paper ... develops a logical language for representing probabilistic causal laws. Our interest in such a language ... fundamental study of the representation of causal knowledge. Causality has an inherent dynamic aspect, which ... time is considered, the idea of a causal law as something which guides this evolution...
  • DirectLiNGAM

  • Referenced in 21 articles [sw15504]
  • networks have been widely used to analyze causal relations between continuous variables. In such frameworks ... linear acyclic model, that is, a causal ordering of variables and their connection strengths, without ... direct method to estimate a causal ordering and connection strengths based on non-Gaussianity...
  • vars

  • Referenced in 32 articles [sw04507]
  • Modelling , Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse...
  • NESTOR

  • Referenced in 27 articles [sw22096]
  • Computer-Based Medical Diagnostic Aid that Integrates Causal and Probabilistic Knowledge. n order to address...
  • PARAFAC

  • Referenced in 22 articles [sw14789]
  • factors found appear to correspond to the causal influences manipulated in the experiment, revealing their...
  • mediation

  • Referenced in 13 articles [sw04536]
  • mediation: R Package for Causal Mediation Analysis , mediation is a publicly available R package that ... allows both parametric and nonparametric causal mediation analysis. It implements the methods and suggestions ... addition to the estimation of causal mediation effects, the software also allows researchers to conduct...
  • MatchIt

  • Referenced in 14 articles [sw10538]
  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. MatchIt implements the suggestions of Ho, Imai, King ... possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly...
  • CauDEr

  • Referenced in 11 articles [sw39403]
  • CauDEr: A Causal-Consistent Reversible Debugger for Erlang. Programming languages based on the actor model ... more easily detected by using causal-consistent reversible debugging, a debugging technique that allows ... computation both forward and backward. Most notably, causal consistency implies that, when going backward ... knowledge, we present the first causal-consistent reversible debugger for Erlang, which may help programmers...
  • GCCA

  • Referenced in 9 articles [sw07376]
  • MATLAB toolbox for Granger causal connectivity analysis. Assessing directed functional connectivity from time series data ... this problem leverages a combination of Granger causality analysis and network theory. This article describes ... freely available MATLAB toolbox – ‘Granger causal connectivity analysis’ (GCCA) – which provides a core ... toolbox includes core functions for Granger causality analysis of multivariate steady-state and event-related...
  • MVGC

  • Referenced in 10 articles [sw14339]
  • MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference. The MVGC Matlab ... Toolbox approach to G-causal inference is based on multiple equivalent representations...
  • Horus

  • Referenced in 15 articles [sw21811]
  • providing (among others) unreliable or reliable FIFO, causal, or total group multicasts. It is extensively...
  • VipTool

  • Referenced in 14 articles [sw13755]
  • comprehensive bundle of methods concerned with causality and concurrency modelled by partially ordered runs...
  • sbw

  • Referenced in 12 articles [sw21948]
  • inverse probability weighting, are widely used for causal inference and estimation with incomplete outcome data...
  • SCTL-MUS

  • Referenced in 8 articles [sw02245]
  • formalise this model, a multi-valued causal temporal logic, referred to as Simple Causal Temporal...
  • CausalImpact

  • Referenced in 11 articles [sw12397]
  • package implements an approach to estimating the causal effect of a designed intervention...