Expanded dataset
Expanded dataset including either ratio-of-mediator probability weights or imputed nested counterfactual outcomes.
A data frame, resulting from applying neWeight or neImpute on an original dataset data. This data frame has nRep * length(data) rows, containing all original variables (except the original exposure variable) and two variables reflecting observed and hypothetical values of the exposure for each observation unit.
These auxiliary variables (x and x*) are named after the exposure variable and carry integers as suffixes. Suffixes 0 and 1 are used for variables whose corresponding parameters in the final natural effect model index natural direct and indirect effects, respectively.
This object also stores some additional attributes, which are used as input for neModel, such as - model: the fitted working model object
data: original dataset
call: the matched call
terms: the neTerms (internal class) object used
weights: ratio-of-mediator probability weights (only stored if object inherits from class weightData)
If the weighting-based approach (neWeight) is applied, the original outcome values are copied for the nested counterfactual outcomes and the object stores an additional attribute, "weights", containing a vector with ratio-of-mediator probability weights.
If the imputation-based approach (neImpute) is applied, the nested counterfactual outcomes are imputed by predictions from the imputation model.
In the former case, this object inherits from classes c("data.frame", "expData", "impData"), whereas in the latter case it inherits from classes c("data.frame", "expData", "weightData").
neImpute, neWeight