.model_role_levels      Valid model type factor levels
ad_pack                 Build AD function with Hessian templates
ad_pack-class           AD function with Hessian templates attached
ad_pack_drop            Retape an AD pack after dropping observation
                        units
ad_pack_ptr             Build raw AD handle for one density shard
ad_pack_ptr-class       Raw AD handle (external pointer)
ad_pack_set_X           Rebuild an 'ad_pack' for a new model-data
                        design
adlaplace               Fit a hierarchical model by Laplace-approximate
                        maximum likelihood
adlaplace_cpp           C++ backend entry points
adlaplace_fit-methods   Methods for fitted adlaplace models
aghq_ff                 Build 'aghq' objective list from an adlaplace
                        fit
amip_set                Approximate most influential removal set (AMIP)
apply_theta_log         Apply log transform to selected theta columns
binomial-class          Binomial observation term
by_group                By-Group Classes and Functions
by_group-class          By-Group Class
c.ad_pack_ptr           Combine 'ad_pack_ptr' handles
clone_ad_pack_ptr       Deep copy of an 'ad_pack_ptr' handle
collect_terms           Parse Model Terms from Formula
density_data-class      Per-shard layout for AD density evaluation
deriv_scan_joint        Scan joint log-density AD derivatives vs finite
                        differences
deriv_scan_laplace      Scan Laplace profile AD derivatives vs finite
                        differences
dirichlet_multinom      Dirichlet-multinomial case-crossover response
                        term
dirichlet_multinom-class
                        Dirichlet-multinomial response term
fit_outer               Outer optimization scaffolding for Laplace
                        profile likelihoods
format_parameters       Format Laplace estimates using parameter
                        metadata
fpoly-class             Fixed Polynomial Model Term
gamm                    Example GAMM simulation data
gaussian-class          Gaussian observation term
germany                 Germany oral cavity cancer (Besag-York-Mollie
                        example)
grad_obs_units          Per-unit observation gradients (streaming,
                        grad-only tapes)
has_openmp              Whether this build was compiled with OpenMP
                        support.
hinv_trace_index        Positions of a shard's quadratic form inside
                        the joint inverse Hessian
iid-class               IID Random Effects Term
influence_scores        Per-unit influence scores for an inner linear
                        functional
inner_opt               Inner optimization over gamma using
                        trust-region CG (sparse)
intercept-class         intercept Model Term
iwp                     Integrated Wiener Process Term Constructor
iwp-class               Integrated Wiener Process Term
laplace_half_H_inv      Extract inner inverse Cholesky factor from
                        Laplace output
laplace_loglik          Laplace-approximate log-likelihood (positive
                        convention)
linear-class            Linear Model Term
log_lik_laplace         Log-likelihood with inner Laplace optimization
london                  London daily mortality and PM10 (case-crossover
                        example)
mean_mvquad             Posterior mean of random effects via
                        multivariate quadrature
model-generics          Model Term Generics
model_data              Assemble model terms and per-shard
                        'density_data' objects
model_term-class        Base Model Class
n_groups                Number of AD shards in an 'ad_pack_ptr' handle
n_obs_units             Number of removable observation units
nbinom-class            Negative binomial observation term
obs_groups              Partition observations into AD shards by
                        sparsity pattern
obs_groups_units        Build 'obs_groups' for a subset of observation
                        units
outer_optim_wrappers    Outer objective and gradient wrappers
phi_gamma               Linear functional of the inner field gamma
poisson-class           Poisson observation term
prior-class             Hyperparameter prior term
replace_vars            Replace data-column names in model terms
rmvnldl                 Simulate from a multivariate normal using LDL
                        of the precision matrix
rpoly-class             Random Polynomial Model Term
sim_fit                 Simulate linear predictors on a new covariate
                        grid
sim_iid                 Simulate IID random effects with pointwise and
                        global intervals
sim_random              Simulate a random-effect contribution for one
                        covariate
sizes                   Parameter-block row counts for an
                        'density_data'
takahashi_davis         Sparse inverse subset of a symmetric
                        positive-definite matrix
term_data_setup         Build design matrices and parameter metadata
                        from a formula
