Gradient-based Marginal Optimization
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Documentation for package ‘gmo’ version 0.1
- DESCRIPTION file.
- Code demos. Use demo() to run them.
Help Pages
| alpha_mean | alpha_mean |
| compute_z_score.default | compute_z_score |
| compute_z_score.gmo | compute_z_score |
| Diagnostic | A Reference Class for diagnosing convergence. |
| diagnostic-class | A Reference Class for diagnosing convergence. |
| est_covariance | Uncertainty estimate of marginal posterior parameters |
| extract_lme_params | extract_lme_params |
| extract_stan_params | extract_stan_params |
| gmo | Gradient-based marginal optimization |
| gmo_approx | Approximate gradient-based marginal optimization |
| Opt | A Reference Class for optimization. |
| opt-class | A Reference Class for optimization. |
| print.gmo | Print objects of class 'gmo'. |