
TETRAD
 Referenced in 399 articles
[sw12177]
 predicts with, and searches for causal and statistical models. The aim of the program...

MIM
 Referenced in 129 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 32 articles
[sw04507]
 package vars: VAR Modelling , Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance...

DirectLiNGAM
 Referenced in 16 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 nonGaussianity ... steps if the data strictly follows the model, that is, if all the model assumptions...

causaleffect
 Referenced in 5 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...

VipTool
 Referenced in 14 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/tnets...

CreditRisk+
 Referenced in 43 articles
[sw31697]
 causes of market price movements. The CREDITRISK+ Model considers default rates as continuous random variables ... correlated, even though there is no causal link between them. The effects of these background ... factors are incorporated into the CREDITRISK+ Model through the use of default rate volatilities...

dagitty
 Referenced in 4 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...

MatchIt
 Referenced in 13 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 hardtojustify, but commonly made, statistical modeling assumptions...

mediation
 Referenced in 13 articles
[sw04536]
 addition to the estimation of causal mediation effects, the software also allows researchers to conduct ... sensitivity analysis for certain parametric models...

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, highdimensional order search and penalized...

SCTLMUS
 Referenced in 8 articles
[sw02245]
 order to formalise this model, a multivalued 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...

Horus
 Referenced in 15 articles
[sw21811]
 group communications model providing (among others) unreliable or reliable FIFO, causal, or total group multicasts...

JCI
 Referenced in 2 articles
[sw35495]
 unifies both approaches. JCI is a causal modeling framework rather than a specific algorithm...

CAnoVa
 Referenced in 1 article
[sw34658]
 CAnoVa. A software for causal modeling. The new impulse given in the last decade ... theory of individual and average causal effects is mostly due to the approach developed ... present CAnoVa, a software for causal modeling that allows a straightforward use of these ... allows to test for confounding and for causal effects even in case of designs with...

gma
 Referenced in 2 articles
[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...

SCRalyze
 Referenced in 1 article
[sw39503]
 using linear convolution models and dynamic causal modelling. A flexible import interface and many utilities...

semibart
 Referenced in 1 article
[sw31324]
 result is a Bayesian semiparametric linear regression model where the posterior distribution of the parameters ... example of this occurs in causal modeling with the structural mean model (SMM). Under certain...

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

DoWhy
 Referenced in 1 article
[sw36878]
 causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based ... unified language for causal inference, combining causal graphical models and potential outcomes frameworks...