Auxiliary function for pmm.params for midae

Auxiliary function for setting up the default pmm-related parameters for midae

Usage

dae_pmm_default(
  pmm.type = NULL,
  pmm.k = 5,
  pmm.link = "prob",
  pmm.save.vars = NULL
)

Arguments

pmm.type

The type of predictive mean matching (PMM). Possible values:

• NULL: Imputations without PMM;

• 0: Imputations with PMM type 0;

• 1: Imputations with PMM type 1;

• 2: Imputations with PMM type 2;

• "auto" (default): Imputations with PMM type 2 for numeric/integer variables; imputations without PMM for categorical variables.

pmm.k

The number of donors for predictive mean matching. Default: 5

pmm.link

The link for predictive mean matching in binary variables

• "prob" (default): use probabilities;

• "logit": use logit values.

pmm.save.vars

The names of variables whose predicted values of observed entries will be saved. Only use for PMM.