weighted_mixture: Fit mixture to weighted sample

In OxfordRSE/trachomAMIS: What the Package Does (One Line, Title Case)

Fit mixture to weighted sample

Description

Weights are implemented by using systematic resampling to obtain an unweighted set of parameters. An unweighted mixture is then fitted using fit_mixture.

Usage

weighted_mixture(parameters, nsamples, weights, log = F)

Arguments

parameters	An N x d matrix containing the sampled values for the d parameters.
nsamples	The number of parameter to resample as data to fit the mixture to.
weights	A vector of weights with length N.
log	logical indicating if weights are logged.

Value

A list of the mixture components (see function fit_mixture)

probs

The mixture weights

Mean

The means of the components

Sigma

The covariance matrices of the components

G

Number of components

BIC

BIC of fitted mixture

ModelName

Model name from package mclust

See Also

fit_mixture

OxfordRSE/trachomAMIS documentation built on Aug. 1, 2022, 10:21 p.m.