• TETRAD

  • Referenced in 314 articles [sw12177]
  • predicts with, and searches for causal and statistical models. The aim of the program...
  • MIM

  • Referenced in 101 articles [sw26139]
  • dependencies, both associational and causal, between the variables in the model. This textbook provides ... variables. Further chapters cover hypothesis testing and model selection. Chapters ... causal inference, relevant when graphical models are given a causal interpretation. This book will provide...
  • vars

  • Referenced in 24 articles [sw04507]
  • package vars: VAR Modelling , Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance...
  • VipTool

  • Referenced in 13 articles [sw13755]
  • project is to establish a simulation and modelling concept for business processes given by Petri ... bundle of methods concerned with causality and concurrency modelled by partially ordered runs of p/t-nets...
  • causaleffect

  • Referenced in 2 articles [sw11067]
  • Expressions of Joint Interventional Distributions in Causal Models. An implementation of the complete identification algorithm ... expressions of joint interventional distributions in causal models, which contain unobserved variables and induce directed...
  • CAM

  • Referenced in 2 articles [sw23430]
  • package CAM: Causal Additive Model (CAM) .The code takes an n x p data matrix ... fits a Causal Additive Model (CAM) for estimating the causal structure of the underlying process ... Bühlmann, J. Peters, J. Ernest: ”CAM: Causal Additive Models, high-dimensional order search and penalized...
  • MatchIt

  • Referenced in 10 articles [sw10538]
  • MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. MatchIt implements the suggestions of Ho, Imai, King ... Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt ... dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions...
  • DirectLiNGAM

  • Referenced in 5 articles [sw15504]
  • Structural equation models and Bayesian networks have been widely used to analyze causal relations between ... structure of a linear acyclic model, that is, a causal ordering of variables and their ... direct method to estimate a causal ordering and connection strengths based on non-Gaussianity ... steps if the data strictly follows the model, that is, if all the model assumptions...
  • SCTL-MUS

  • Referenced in 8 articles [sw02245]
  • order to formalise this model, a multi-valued causal temporal logic, referred to as Simple ... Causal Temporal Logic (SCTL), is defined for the acquisition and specification of the functional requirements ... Model of Unspecified States (MUS) is also defined with a double goal: firstly, to show...
  • mediation

  • Referenced in 11 articles [sw04536]
  • addition to the estimation of causal mediation effects, the software also allows researchers to conduct ... sensitivity analysis for certain parametric models...
  • dagitty

  • Referenced in 2 articles [sw16593]
  • dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs ... package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications ... separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation...
  • Horus

  • Referenced in 14 articles [sw21811]
  • group communications model providing (among others) unreliable or reliable FIFO, causal, or total group multicasts...
  • wfe

  • Referenced in 1 article [sw23425]
  • Weighted Linear Fixed Effects Regression Models for Causal Inference. Provides a computationally efficient ... fitting weighted linear fixed effects estimators for causal inference with various weighting schemes. Weighted linear ... Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?”, available at
  • TimeSquare

  • Referenced in 4 articles [sw15830]
  • verification of causal and temporal constraints. It implements the MARTE Time Model and its specification...
  • PARAFAC

  • Referenced in 18 articles [sw14789]
  • separate ‘rotation’ phase of analysis. The model can be used several ways ... factors found appear to correspond to the causal influences manipulated in the experiment, revealing their ... Several generalizations of the parallel factor analysis model are currently under development, including ones that...
  • PARAMED

  • Referenced in 1 article [sw23418]
  • mediation analysis using parametric regression models. paramed performs causal mediation analysis using parametric regression models...
  • gma

  • Referenced in 1 article [sw26339]
  • model for the time series of a single participant performs the causal mediation analysis ... which integrates the structural equation modeling and the Granger causality frameworks. A vector autoregressive model...
  • TATES

  • Referenced in 2 articles [sw20044]
  • loss of statistical power to detect causal variants. Multivariate genotype-phenotype methods do exist ... probing a wide variety of genotype-phenotype models, show that TATES’s false positive rate ... that TATES’s statistical power to detect causal variants explaining 0.5% of the variance ... complex traits. As the actual causal genotype-phenotype model is usually unknown and probably phenotypically...
  • cna

  • Referenced in 0 articles [sw19675]
  • package cna. Causal Modeling with Coincidence Analysis. Provides comprehensive functionalities for causal modeling with Coincidence...
  • CompareCausalNetworks

  • Referenced in 0 articles [sw17930]
  • bivariate additive noise model), ’bivariateCAM’ (bivariate causal additive model), ’CAM’ (causal additive model) (from package...