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adlaplace - Laplace Approximations Using Automatic Differentiation

Computes Laplace approximations for hierarchical models using automatic differentiation (CppAD) and trust-region optimization.

Last updated

cppopenmp

5.86 score 4 dependents

adlaplaceGrf - FEM Matern Gaussian Random Fields for Adlaplace

Tensor-product B-spline finite-element ingredients for Matern Gaussian random fields (mass, stiffness, and higher-order Grams) for use with the adlaplace Laplace approximation framework. Provides design and Gram matrix construction on regular grids, with optional terra SpatRaster / SpatVector input, and AD tape builders for random_fem_ssq_* / random_fem_det_*.

Last updated

cpp

4.78 score

adlaplaceExample - Example Backend for 'adlaplace'

Provides a minimal example backend package for 'adlaplace'. It demonstrates how to implement and expose model-specific AD tape construction while delegating optimization and Laplace approximation workflows to 'adlaplace'.

Last updated

cpp

4.60 score

hpolcc - Hierarchical Air Pollution Model

Fits hierarchical functional case-crossover models for air pollution health effects, with hierarchical structures and case-crossover designs built on the adlaplace Laplace approximation framework.

Last updated

cpp

4.60 score

RCppAD - CppAD C++ Header Files for Automatic Differentiation

Provides the CppAD C++ header library for automatic differentiation, for use by R packages via LinkingTo. Headers are vendored with CRAN-safe defaults (optional backends such as ColPack disabled) and R-safe error handling that does not call std::cerr or std::exit.

Last updated

4.48 score 5 dependents

adlaplaceHgp - Hierarchical Gaussian Processes for 'adlaplace'

Hierarchical and random-slope integrated Wiener process model terms for use with the adlaplace Laplace approximation framework. Provides hiwp, rsiwp, rsiid, rsfpoly, and rsrpoly constructors plus conditional simulation utilities for IWP-style smooths.

Last updated

3.78 score 1 dependents