Correcting Misclassified Mediation Analysis

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Documentation for package ‘COMMA’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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COMBO_EM_algorithm	EM-Algorithm Estimation of the Binary Outcome Misclassification Model
COMBO_EM_function	EM-Algorithm Function for Estimation of the Misclassification Model
COMBO_weight	Compute E-step for Binary Outcome Misclassification Model Estimated With the EM-Algorithm
COMMA_boot_sample	Generate Bootstrap Samples for Estimating Standard Errors
COMMA_data	Generate Data to use in COMMA Functions
COMMA_EM	EM Algorithm Estimation of the Binary Mediator Misclassification Model
COMMA_EM_bootstrap_SE	Estimate Bootstrap Standard Errors using EM
COMMA_OLS	Ordinary Least Squares Estimation of the Binary Mediator Misclassification Model
COMMA_OLS_bootstrap_SE	Estimate Bootstrap Standard Errors using OLS
COMMA_PVW	Predictive Value Weighting Estimation of the Binary Mediator Misclassification Model
COMMA_PVW_bootstrap_SE	Estimate Bootstrap Standard Errors using PVW
EM_function_bernoulliY	EM Algorithm Function for Estimation of the Misclassification Model
EM_function_bernoulliY_XM	EM Algorithm Function for Estimation of the Misclassification Model
EM_function_normalY	EM Algorithm Function for Estimation of the Misclassification Model
EM_function_normalY_XM	EM Algorithm Function for Estimation of the Misclassification Model
EM_function_poissonY	EM Algorithm Function for Estimation of the Misclassification Model
EM_function_poissonY_XM	EM Algorithm Function for Estimation of the Misclassification Model
misclassification_prob	Compute Conditional Probability of Observed Mediator Given True Mediator, for Every Subject
NCHS2022_sample	Example data from the National Vital Statistics System of the National Center for Health Statistics (NCHS), 2022
pistar_compute	Compute Conditional Probability of Each Observed Outcome Given Each True Outcome, for Every Subject
pi_compute	Compute Probability of Each True Outcome, for Every Subject
sum_every_n	Sum Every "n"th Element
sum_every_n1	Sum Every "n"th Element, then add 1
theta_optim	Likelihood Function for Normal Outcome Mechanism with a Binary Mediator
theta_optim_XM	Likelihood Function for Normal Outcome Mechanism with a Binary Mediator and an Interaction Term
true_classification_prob	Compute Probability of Each True Mediator, for Every Subject
w_m_binaryY	Compute E-step for Binary Mediator Misclassification Model Estimated With the EM Algorithm
w_m_normalY	Compute E-step for Binary Mediator Misclassification Model Estimated With the EM Algorithm
w_m_poissonY	Compute E-step for Binary Mediator Misclassification Model Estimated With the EM Algorithm