
MIM
 Referenced in 128 articles
[sw26139]
 summarizes some recent work on causal inference, relevant when graphical models are given a causal...

pcalg
 Referenced in 82 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...

MatchIt
 Referenced in 12 articles
[sw10538]
 MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. MatchIt implements the suggestions of Ho, Imai, King ... greatly reduce the dependence of causal inferences on hardtojustify, but commonly made, statistical...

MVGC
 Referenced in 9 articles
[sw14339]
 toolbox: A new approach to Grangercausal inference. The MVGC Matlab© Toolbox approach ... causal inference is based on multiple equivalent representations of a VAR model by (i) regression...

sbw
 Referenced in 10 articles
[sw21948]
 probability weighting, are widely used for causal inference and estimation with incomplete outcome data. Part...

cplint
 Referenced in 4 articles
[sw22924]
 Causal inference in cplint. cplint is a suite of programs for reasoning and learning with ... have extended cplint to perform causal reasoning. In particular, we consider Pearl’s do calculus ... measured. The two cplint modules for inference, PITA and MCINTYRE, have been extended for computing ... conditional and causal queries, showing that causal inference is often cheaper than conditional inference...

Surrogate
 Referenced in 6 articles
[sw16061]
 metaanalytic, informationtheoretic, and causalinference frameworks. Part of this software has been developed...

simcausal
 Referenced in 4 articles
[sw25111]
 package simcausal: Simulating Longitudinal Data with Causal Inference Applications. A flexible tool for simulating complex ... equations, with emphasis on problems in causal inference. Specify interventions and simulate from intervened data...

cvDSA
 Referenced in 4 articles
[sw06346]
 cvDSA package groups several routines for causal inference with point treatment data based on Marginal...

JCI
 Referenced in 2 articles
[sw35495]
 Joint causal inference from multiple contexts. The gold standard for discovering causal relations ... methods have been proposed that can infer causal relations between variables from certain statistical patterns ... purely observational data. We introduce Joint Causal Inference (JCI), a novel approach to causal discovery...

qtlnet
 Referenced in 2 articles
[sw23429]
 package qtlnet: Causal Inference of QTL Networks. Functions to Simultaneously Infer Causal Graphs and Genetic...

tmlenet
 Referenced in 1 article
[sw33571]
 package: M. J. van der Laan, “Causal inference for a population of causally connected units ... Causal Inference J. Causal Infer...

D2C
 Referenced in 2 articles
[sw14323]
 heart of all statistical approaches to causal inference. The D2C package implements a supervised machine ... learning approach to infer the existence of a directed causal link between two variables...

inferference
 Referenced in 2 articles
[sw23432]
 package inferference: Methods for Causal Inference with Interference. Provides methods for estimating causal effects...

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

RCAL
 Referenced in 2 articles
[sw33473]
 Calibrated Estimation. Regularized calibrated estimation for causal inference and missingdata problems with highdimensional...

doseresponse
 Referenced in 2 articles
[sw30475]
 Imbens (2004, Applied Bayesian Modeling and Causal Inference from IncompleteData Perspectives, 7384). Then...

CausalML
 Referenced in 1 article
[sw32089]
 Python implementation of algorithms related to causal inference and machine learning. Algorithms combining causal inference...

iWeigReg
 Referenced in 1 article
[sw23434]
 package iWeigReg: Improved methods for causal inference and missing data problems. Improved methods based ... probability weighting and outcome regression for causal inference and missing data problems...

cit
 Referenced in 1 article
[sw17794]
 package cit. Causal Inference Test. A likelihoodbased hypothesis testing approach is implemented for assessing ... intervals to quantify uncertainty in the causal inference. The outcome can be represented by either...