View source: R/05_calc_myreg_mediation_analysis.R
calc_myreg | R Documentation |
This function returns functions that can be used to calculate the causal effect measures, given the mediator model fit (mreg_fit
) and the outcome model fit (yreg_fit
).
calc_myreg(
mreg,
mreg_fit,
yreg,
yreg_fit,
avar,
mvar,
cvar,
emm_ac_mreg,
emm_ac_yreg,
emm_mc_yreg,
interaction
)
mreg |
A character vector of length 1. Mediator regression type: |
mreg_fit |
Model fit from |
yreg |
A character vector of length 1. Outcome regression type: |
yreg_fit |
Model fit from |
avar |
A character vector of length 1. Treatment variable name. |
mvar |
A character vector of length 1. Mediator variable name. |
cvar |
A character vector of length > 0. Covariate names. Use |
emm_ac_mreg |
A character vector of length > 0. Effect modifiers names. The covariate vector in treatment-covariate product term in the mediator model. |
emm_ac_yreg |
A character vector of length > 0. Effect modifiers names. The covariate vector in treatment-covariate product term in the outcome model. |
emm_mc_yreg |
A character vector of length > 0. Effect modifiers names. The covariate vector in mediator-covariate product term in outcome model. |
interaction |
A logical vector of length 1. The presence of treatment-mediator interaction in the outcome model. Default to TRUE. |
A list containing two functions. The first is for calculating point estimates. The second is for calculating the correspoding
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