CovMat_mcmc_summary: Compute quantiles for the covariance matrix.
In fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components
Description
Usage
Arguments
Value
Author(s)
Description
Compute quantiles for the covariance matrix per cluster based on the MCMC output stored in a fabMix.object.
Usage
1
CovMat_mcmc_summary(x, quantile_probs)
Arguments
x
An object of class fabMix.object.
quantile_probs
Vector of probabilities for computing the corresponding quantiles.
Value
A list containing the quantiles for the covariance matrix per component. Each element is a p\times p \times K array, where p and K denote the dimension of the multivariate data and number of alive components for the selected model, respectively.
Author(s)
Panagiotis Papastamoulis
fabMix documentation built on Feb. 20, 2020, 1:09 a.m.
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Description Usage Arguments Value Author(s)
Description
Compute quantiles for the covariance matrix per cluster based on the MCMC output stored in a fabMix.object.
Usage
1 | CovMat_mcmc_summary(x, quantile_probs)
|
Arguments
x |
An object of class |
quantile_probs |
Vector of probabilities for computing the corresponding quantiles. |
Value
A list containing the quantiles for the covariance matrix per component. Each element is a p\times p \times K array, where p and K denote the dimension of the multivariate data and number of alive components for the selected model, respectively.
Author(s)
Panagiotis Papastamoulis
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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