expectation: Compute expectations of a Gaussian mixture model

In gmgm: Gaussian Mixture Graphical Model Learning and Inference

Compute expectations of a Gaussian mixture model

Description

This function computes expectations of a Gaussian mixture model.

Usage

expectation(gmm, data_x = NULL)

Arguments

gmm	An object of class gmm.
data_x	A data frame or numeric matrix containing observations of the explanatory variables if conditional expectations are computed. Its columns must explicitly be named after the explanatory variables. If NULL (the default), the joint expectation is computed in a one-row matrix.

Value

A numeric matrix containing the expectations.

See Also

density, sampling

Examples

data(gmm_body, data_body)
expect_1 <- expectation(gmm_body)
expect_2 <- expectation(gmm_body,
                        data_body[, c("WEIGHT", "FAT", "HEIGHT", "AGE")])

gmgm documentation built on Sept. 9, 2022, 1:07 a.m.