encodedata: encodedata

In NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks

encodedata

Description

For data Z with missing (NA) entries, computes an augmented data set (U, W) where W encodes the missingness pattern as an indicator vector and U is the original data Z with missing entries replaced by a fixed constant c.

Usage

encodedata(Z, c = 0)

Arguments

Z	data containing NA entries
c	fixed constant with which to replace NA entries

Value

Augmented data set (U, W). If Z is provided as a list, the return type will be a JuliaProxy object; these objects can be indexed in the usual manner using [[, or converted to an R object using juliaGet() (note however that juliaGet() can be slow for large data sets).

See Also

the Julia version of encodedata()

Examples

## Not run: 
library("NeuralEstimators")
Z <- matrix(c(1, 2, NA, NA, 5, 6, 7, NA, 9), nrow = 3)
encodedata(Z)
encodedata(list(Z, Z))
## End(Not run)

NeuralEstimators documentation built on Sept. 10, 2026, 1:12 a.m.