Package: adlaplaceExample 0.5.2

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'.

Authors:Patrick Brown [aut, cre, cph]

adlaplaceExample_0.5.2.tar.gz
adlaplaceExample_0.5.2.zip(r-4.7)adlaplaceExample_0.5.2.zip(r-4.6)adlaplaceExample_0.5.2.zip(r-4.5)
adlaplaceExample_0.5.2.tgz(r-4.6-x86_64)adlaplaceExample_0.5.2.tgz(r-4.6-arm64)adlaplaceExample_0.5.2.tgz(r-4.5-x86_64)adlaplaceExample_0.5.2.tgz(r-4.5-arm64)
adlaplaceExample_0.5.2.tar.gz(r-4.7-arm64)adlaplaceExample_0.5.2.tar.gz(r-4.7-x86_64)adlaplaceExample_0.5.2.tar.gz(r-4.6-arm64)adlaplaceExample_0.5.2.tar.gz(r-4.6-x86_64)
adlaplaceExample_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
adlaplaceExample/json (API)

# Install 'adlaplaceExample' in R:
install.packages('adlaplaceExample', repos = c('https://eborgnine.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/eborgnine/adlaplace/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.60 score 6 exports 8 dependencies

Last updated from:abf0625826 (on main). Checks:13 OK. Indexed: yes.
A new build is currently in progress.

TargetResultTimeFilesSyslog
linux-devel-arm64OK164
linux-devel-x86_64OK162
source / vignettesOK237
linux-release-arm64OK151
linux-release-x86_64OK158
macos-release-arm64OK100
macos-release-x86_64OK276
macos-oldrel-arm64OK131
macos-oldrel-x86_64OK221
windows-develOK147
windows-releaseOK130
windows-oldrelOK177
wasm-releaseOK129

Exports:beta_infodesignprecisionrandom_infoskewnormaltheta_info

Dependencies:adlaplacedata.tablelatticeMatrixRcppRCppADRcppEigentrustOptim

AIS data in adlaplaceExample
Data | Model and AD setup | Laplace log-likelihood at starting values | Outer optimization | Fitted values and density overlay | Derivative check along one parameter
Rendered fromais.Rmdusingknitr::rmarkdown

Last update: 2026-07-17
Started: 2026-07-17

Laplace Approximations with adlaplaceExample
Model | Simulated data | Building AD shards | Observations and hyperparameters | Random effects | Observation likelihood check | Combining shards | Inner optimization | Profile likelihood | Outer optimization | Profile derivative checks | Joint density derivative checks | Nicer interface
Rendered fromadlaplace_test.Rmdusingknitr::rmarkdown

Last update: 2026-07-17
Started: 2026-01-28

Readme and manuals

Help Manual

Help pageTopics
Build observation-shard 'ad_fun_ptr' in this package's shared library.get_ad_fun_raw_obs
Build parameters-shard 'ad_fun_ptr' in this package's shared library.get_ad_fun_raw_parameters
Skew-normal observation term constructorskewnormal
Skew-normal observation termbeta_info,skewnormal-method design,skewnormal-method precision,skewnormal-method random_info,skewnormal-method skewnormal-class theta_info,skewnormal-method