trbrick/MICr: Matrices of Implied Causation in R

Matrices of Implied Causation (MICs) are a tool for understanding a path model’s implications for the causal influence of one variable on another, and for comparing models on that basis. While causality cannot be determined simply by fitting a path model, researchers often use these models as a representation of an underlying causal process model. In these cases, MICs and MIC tables are useful for comparing models for face validity, and for the design of optimal experiments to differentiate the predictions they make.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("trbrick/MICr")
trbrick/MICr documentation built on Dec. 27, 2019, 4:33 a.m.