midas_transform: Generate multiple imputations

In rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

Generate multiple imputations

Description

Generates m imputed datasets from a fitted MIDAS model.

Usage

midas_transform(model_id, m = 5L, ...)

Arguments

model_id	A character model ID, or a fitted model object (list with a ⁠$model_id⁠ element) as returned by midas_fit() or midas().
m	Integer. Number of imputations (default 5).
...	Arguments forwarded to ensure_server().

Value

A list of m data frames, each with imputed values.

Examples

## Not run: 
df <- data.frame(X1 = rnorm(200), X2 = rnorm(200))
df$X1[sample(200, 40)] <- NA
fit <- midas_fit(df, epochs = 10L)
imps <- midas_transform(fit, m = 10)
head(imps[[1]])

## End(Not run)

rMIDAS2 documentation built on March 12, 2026, 9:07 a.m.