| scorematchingad-package | scorematchingad: Score Matching Estimation by Automatic Differentiation |
| ADFun | A Class for Storing a CppAD Tape (ADFun) Object |
| Bingham | Score Matching Estimators for the Bingham Distribution |
| buildsmdtape | Build CppAD Tapes for Score Matching |
| cppad_closed | Score Matching Estimator for Quadratic-Form Score Matching Discrepancies |
| cppad_search | Iterative Score Matching Estimator Using Conjugate-Gradient Descent |
| customll | Compile a custom log-likelihood function. |
| customll_test | Compile a custom log-likelihood function. |
| dppi | Improper Log-Density of the PPI Model |
| evalll | Evaluate a custom log-likelihood function |
| evaltape | Evaluate a CppAD Tape Many Times |
| evaltape_wsum | Evaluate a CppAD Tape Many Times |
| FB | Estimate the Fisher-Bingham Distribution |
| microbiome | 16s Microbiome Data for Soil-Transmitted Helminths |
| moretapebuilders | Build New Tapes from Existing Tapes |
| ppi | Estimation of Polynomially-Tilted Pairwise Interaction (PPI) Model |
| ppi_cW | Quickly Generate a Vector of Windham Exponents for the PPI Model |
| ppi_cW_auto | Quickly Generate a Vector of Windham Exponents for the PPI Model |
| ppi_fromAstar | PPI Parameter Tools |
| ppi_mmmm | A PPI Score-Matching Marginal Moment Matching Estimator (dimension=3 only) |
| ppi_parammats | PPI Parameter Tools |
| ppi_paramvec | PPI Parameter Tools |
| ppi_param_tools | PPI Parameter Tools |
| ppi_robust | Robustly Estimate Parameters of the PPI Distribution |
| ppi_robust_alrgengamma | Robustly Estimate Parameters of the PPI Distribution |
| ppi_smvalues | Estimation of Polynomially-Tilted Pairwise Interaction (PPI) Model |
| ppi_toAstar | PPI Parameter Tools |
| quadratictape_parts | Evaluate the Hessian and Gradient Offset of a Taped Quadratic Function |
| rppi | Simulate from a PPI Model |
| rppi_egmodel | Simulate from a PPI Model |
| rsymmetricmatrix | Quickly Generate a Symmetric Matrix for Testing and Examples |
| scorematchingad | scorematchingad: Score Matching Estimation by Automatic Differentiation |
| scorematchingtheory | Introduction to Score Matching |
| smvalues | Compute Score Matching Discrepancy Value, Gradient, and Hessian |
| smvalues_wsum | Compute Score Matching Discrepancy Value, Gradient, and Hessian |
| tapeGradOffset | Build New Tapes from Existing Tapes |
| tapeHessian | Build New Tapes from Existing Tapes |
| tapeJacobian | Build New Tapes from Existing Tapes |
| tapeLogJacDet | Build New Tapes from Existing Tapes |
| tapeSwap | Build New Tapes from Existing Tapes |
| testquadratic | Test Whether a CppAD Tape is a Quadratic Function |
| vMF | Score Matching Estimator for the von-Mises Fisher Distribution |
| vMF_robust | Robust Fitting of von Mises Fisher |
| Windham | Windham Robustification of Point Estimators for Exponential Family Distributions |
| Windham_populationinverse | Inverse Transform for the Population Parameters Under Windham Weights |
| Windham_populationinverse_alternative | Inverse Transform for the Population Parameters Under Windham Weights |