Man pages for gschnabel/nucdataBaynet
Bayesian networks for nuclear data evaluation
| create_compound_map | Create a compound mapping |
| create_convolution_with_xtrafo_map | Create a mapping for windowed averages including energy... |
| create_derivative2nd_map | Create a mapping from function values to second derivatives |
| create_derivative_map | Create a mapping from function values to the first derivative |
| create_linearinterpol_map | Create a linear interpolation mapping |
| create_linearinterpol_with_xtrafo_map | Create a linear interpolation mapping including energy... |
| create_linearmap_map | Create a generic linear mapping |
| create_map | Create a mapping |
| create_maptype_map | Template for the creation of a mapping function |
| create_nonlinear_map | Create a mapping to effect a non-linear transformation |
| create_normerr_map | Create a mapping for absolute energy-independent... |
| create_product_map | Create a product mapping |
| evaluate_logpostpdf | Evaluate posterior density function |
| generate_logpostpdf_funs | Generate helper functions for optimization routines |
| get_network_structure | Get network structre |
| get_posterior_cov | Compute posterior covariance matrix block |
| get_posterior_sample | Draw a sample from the posterior distribution |
| glsalgo | Generalized Least Squares fitting |
| LMalgo | Maximum a posterior estimate via LM algorithm |
| nucdataBaynet | nucdataBaynet - Nuclear data evaluation with Bayesian... |
| order_maps | Sort a list of mappings |
