• MIM

  • Referenced in 120 articles [sw26139]
  • summarizes some recent work on causal inference, relevant when graphical models are given a causal...
  • pcalg

  • Referenced in 78 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 hard-to-justify, but commonly made, statistical...
  • MVGC

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

  • Referenced in 8 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]
  • meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed...
  • simcausal

  • Referenced in 3 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...
  • 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
  • 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 likelihood-based hypothesis testing approach is implemented for assessing ... intervals to quantify uncertainty in the causal inference. The outcome can be represented by either...
  • VLTimeCausality

  • Referenced in 1 article [sw33925]
  • package VLTimeCausality: Variable-Lag Time Series Causality Inference Framework. A framework to infer causality...
  • ASPBay

  • Referenced in 1 article [sw23422]
  • package ASPBay: Bayesian Inference on Causal Genetic Variants using Affected Sib-Pairs Data. This package ... allows to make inference on the properties of causal genetic variants in linkage disequilibrium with ... selected subset, we make inference on causal genetic variants in the considered region...
  • mwa

  • Referenced in 1 article [sw23433]
  • package mwa: Causal Inference in Spatiotemporal Event Data. Matched Wake Analysis (mwa) grants insights into...