new_regmedint {regmedint}

Low level constructor for a regmedint S3 class object.

Description

This is not a user function and meant to be executed within the regmedint function after validatingthe arguments.

Usage

new_regmedint(
  data,
  yvar,
  avar,
  mvar,
  cvar,
  emm_ac_mreg,
  emm_ac_yreg,
  emm_mc_yreg,
  eventvar,
  a0,
  a1,
  m_cde,
  c_cond,
  yreg,
  mreg,
  interaction,
  casecontrol
)

Arguments

data

Data frame containing the following relevant variables.

yvar

A character vector of length 1. Outcome variable name. It should be the time variable for the survival outcome.

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 NULL if there is no covariate. However, this is a highly suspicious situation. Even if avar is randomized, mvar is not. Thus, there are usually some confounder(s) to account for the common cause structure (confounding) between mvar and yvar.

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.

eventvar

An character vector of length 1. Only required for survival outcome regression models. Note that the coding is 1 for event and 0 for censoring, following the R survival package convention.

a0

A numeric vector of length 1. The reference level of treatment variable that is considered "untreated" or "unexposed".

a1

A numeric vector of length 1.

m_cde

A numeric vector of length 1. Mediator level at which controlled direct effect is evaluated at.

c_cond

A numeric vector of the same length as cvar. Covariate levels at which natural direct and indirect effects are evaluated at.

yreg

A character vector of length 1. Outcome regression type: "linear", "logistic", "loglinear", "poisson", "negbin", "survCox", "survAFT_exp", or "survAFT_weibull".

mreg

A character vector of length 1. Mediator regression type: "linear" or "logistic".

interaction

A logical vector of length 1. The presence of treatment-mediator interaction in the outcome model. Default to TRUE.

casecontrol

A logical vector of length 1. Default to FALSE. Whether data comes from a case-control study.

Value

A regmedint object.