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_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
COMMA_boot_sample       Generate Bootstrap Samples for Estimating
                        Standard Errors
COMMA_data              Generate Data to use in COMMA Functions
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
NCHS2022_sample         Example data from the National Vital Statistics
                        System of the National Center for Health
                        Statistics (NCHS), 2022
misclassification_prob
                        Compute Conditional Probability of Observed
                        Mediator Given True Mediator, for Every Subject
pi_compute              Compute Probability of Each True Outcome, for
                        Every Subject
pistar_compute          Compute Conditional Probability of Each
                        Observed Outcome Given 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
