Package: adlaplace
Type: Package
Title: Laplace Approximations Using Automatic Differentiation
Version: 0.5.2
Authors@R: person(given="Patrick", family="Brown", email="patrick.borgnine@gmail.com", role=c("aut","cre","cph"))
Maintainer: Patrick Brown <patrick.borgnine@gmail.com>
Description: Computes Laplace approximations for hierarchical models
        using automatic differentiation (CppAD) and trust-region
        optimization.
License: MPL-2.0
Depends: R (>= 3.5.0)
Imports: Matrix (>= 1.2.18), Rcpp (>= 1.0.3), methods, data.table,
        stats, graphics, RCppAD
Suggests: numDeriv, abind, knitr, rmarkdown, trustOptim, testthat (>=
        3.0.0), mvQuad, mgcv, MASS, nlme, sn, terra
Config/testthat/edition: 3
VignetteBuilder: knitr
Enhances: RSpectra
LinkingTo: Rcpp, RcppEigen, trustOptim, Matrix, RCppAD
Encoding: UTF-8
SystemRequirements: OpenMP
RoxygenNote: 7.3.3
NeedsCompilation: yes
Collate: 'RcppExports.R' 'classes.R' 'ad_data.R' 'ad_fun.R'
        'ad_fun_ptr.R' 'ad_shards.R' 'data_setup.R' 'effects.R'
        'families.R' 'model_data.R' 'log_lik.R' 'fit.R' 'sim_fit.R'
        'fit_methods.R' 'fixed_terms.R' 'format_parameters.R'
        'germany-data.R' 'hessian_map.R' 'iid.R' 'rpoly.R' 'iwp.R'
        'mvn_utils.R' 'prepare_model_rows.R' 'zzz.R'
LazyData: true
Repository: https://eborgnine.r-universe.dev
Date/Publication: 2026-07-17 22:33:33 UTC
RemoteUrl: https://github.com/eborgnine/adlaplace
RemoteRef: main
RemoteSha: 96d35f802cd1c076c717dc2284fafebab64dad52
RemoteSubdir: adlaplace
Packaged: 2026-07-17 23:38:34 UTC; root
Author: Patrick Brown [aut, cre, cph]