Man pages for jmhewitt/bisque
Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Models
| createLocScaleGrid | Create a centered and scaled sparse integration grid |
| dmix | Evaluate a mixture density |
| emix | Compute expectations via weighted mixtures |
| furseals | Data from a capture-recapture study of fur seal pups |
| itx | Named inverse transformation functions |
| jac.exp | Jacobian for exponential transform |
| jac.invlogit | Jacobian for logit transform |
| jac.log | Jacobian for log transform |
| jac.logit | Jacobian for logit transform |
| kCompute | Use sparse grid quadrature techniques to integrate... |
| logjac | Wrapper to abstractly evaluate log-Jacobian functions for... |
| mergePars | Merge pre-computed components of f(theta1 | theta2, X) |
| sFit | Fit a spatially mean-zero spatial Gaussian process model |
| sKrig | Draw posterior predictive samples from a spatial Gaussian... |
| tx | Named transformation functions |
| wBuild | Derive parameters for building integration grids |
| wMix | Construct a weighted mixture object |
