| predprecWB {factorstochvol} | R Documentation |
Predicts precision matrix and its determinant (Woodbury variant)
Description
predprecWB simulates from the posterior predictive distribution
of the model-implied precision matrix and its determinant
using the Woodbury matrix identity and the matrix determinant lemma
Usage
predprecWB(x, ahead = 1, each = 1)
Arguments
x |
Object of class |
ahead |
Vector of timepoints, indicating how many steps to predict ahead. |
each |
Single integer (or coercible to such) indicating how often should be drawn from the posterior predictive distribution for each draw that has been stored during MCMC sampling. |
Value
List containing two elements:
- precision
Array containing the draws of the predicted precision matrix.
- precisionlogdet
Matrix containing the draws of the determinant of the predicted precision matrix.
Note
Currently crudely implemented as a triple loop in pure R, may be slow.
See Also
Usually used for evaluating the predictive likelihood when many
series but few factors are used, see
predloglik and predloglikWB.
Other predictors:
predcond(),
predcor(),
predcov(),
predh(),
predloglikWB(),
predloglik()