Description Usage Arguments Value Author(s)
Gibbs sampling for fitting a mixture model with diagonal covariance structure.
1 2 3 | overfitting_q0(x_data, originalX, outputDirectory, Kmax, m, thinning, burn,
g, h, alpha_prior, alpha_sigma, beta_sigma,
start_values, q, zStart, gibbs_z, lowerTriangular)
|
x_data |
normalized data |
originalX |
observed raw data (only for plotting purpose) |
outputDirectory |
Name of the output folder |
Kmax |
Number of mixture components |
m |
Number of iterations |
thinning |
Thinning of chain |
burn |
Burn-in period |
g |
Prior parameter g. Default value: g = 2. |
h |
Prior parameter h. Default value: h = 1. |
alpha_prior |
Parameters of the Dirichlet prior distribution of mixture weights. |
alpha_sigma |
Prior parameter α. Default value: α = 2. |
beta_sigma |
Prior parameter β. Default value: β = 1. |
start_values |
Optional (not used) |
q |
Number of factors. |
zStart |
Optional (not used) |
gibbs_z |
Optional |
lowerTriangular |
logical value indicating whether a lower triangular parameterization should be imposed on the matrix of factor loadings (if TRUE) or not. Default: TRUE. |
List of files
Panagiotis Papastamoulis
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