COMMA: COrrecting Misclassified Mediation Analysis
COMMA provides a set of functions for the analysis of mediation models with binary mediator misclassification.
The two main parts are:
- Classification probability calculations
- Parameter estimation
The package allows users to compute the probability of the latent true mediators and the conditional probability of observing a mediator value given the latent true mediator, based on parameters estimated from the COMMA_EM, COMMA_PVW, and COMMA_OLS functions.
Jointly estimate parameters from the true mediator, observed mediator, and outcome mechanisms, respectively, in a mediation analysis with a binary misclassified mediator variable. Three methods are provided for parameter estimation: an ordinary least squares correction procedure, a predictive value weighting approach, and an expectation-maximization algorithm.
# Install from CRAN:
install.packages("COMBO")
# Install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("kimberlywebb/COMMA")