DPCCA is a model for analysing longitudinal metabolomic data.
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q |
Number of components. |
chain_output |
Desired size of ouput chain. |
prior_params |
Named list containing prior parameter specification. |
burn_in |
length of burn-in period. |
thin |
thinning to be performed on chain. |
data_time |
List of M matrixes or data frames containing the observed data for each time point. |
post_burn_in |
further burn-in applied to chains of loadings and scores to calculate posteriors |
post_thin |
further thinning applied to chains of loadings and scores to calculate posteriors |
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