Pedigree Models


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Documentation for package ‘pedmod’ version 0.2.4

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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