| biconnected_components | Finds the Biconnected Components |
| biconnected_components_pedigree | Finds the Biconnected Components |
| block_cut_tree | Creates a Block-cut Tree Like Object |
| block_cut_tree_pedigree | Creates a Block-cut Tree Like Object |
| direct_to_standardized | Transform Between Parameterizations |
| eval_pedigree_grad | Approximate the Log Marginal Likelihood |
| eval_pedigree_hess | Approximate the Log Marginal Likelihood |
| eval_pedigree_ll | Approximate the Log Marginal Likelihood |
| max_balanced_partition | Finds an Approximately Balanced Connected Partition |
| max_balanced_partition_pedigree | Finds an Approximately Balanced Connected Partition |
| mvndst | Multivariate Normal Distribution CDF and Its Derivative |
| mvndst_grad | Multivariate Normal Distribution CDF and Its Derivative |
| pedigree_ll_terms | Get a C++ Object for Log Marginal Likelihood Approximations |
| pedigree_ll_terms_loadings | Get a C++ Object for Log Marginal Likelihood Approximations |
| pedmod_opt | Optimize the Log Marginal Likelihood |
| pedmod_profile | Computes Profile Likelihood Based Confidence Intervals |
| pedmod_profile_nleq | Computes Profile Likelihood Based Confidence Intervals for a Nonlinear Transformation of the Variables |
| pedmod_profile_prop | Computes Profile Likelihood Based Confidence Intervals for the Proportion of Variance |
| pedmod_sqn | Optimize the Log Marginal Likelihood Using a Stochastic Quasi-Newton Method |
| pedmod_start | Optimize the Log Marginal Likelihood |
| pedmod_start_loadings | Optimize the Log Marginal Likelihood |
| standardized_to_direct | Transform Between Parameterizations |
| unconnected_partition | Finds an Approximately Balanced Partition |
| unconnected_partition_pedigree | Finds an Approximately Balanced Partition |