Released on 12/03/2009:
• | Conditional correlations. |
• | Save state-space matrices to mat-file. |
• | Save parameter covariance matrix to mat-file when it has been estimated from posterior draws. |
• | Use own parameter covariance matrix for the inverse Hessian matrix of the proposal density for the random-walk Metropolis algorithm. |
• | Display posterior densities of parameters that are a function of the estimated parameters. |
• | Results on such parameters are now written into the results files of the posterior mode and posterior sampling functions. |
• | Impulse responses for shock groups. |
• | View plots of conditioning variables. |
• | Kernel density estimates of the marginal predictive distributions for each time period. |
• | Additional error messages from AiM are now reported. |
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http://www.texlips.net/yada/help/index.html?1_60.htm