.update_obs             Updating an 'SLik_j' object for new data
C2ST                    Diagnostics of the fit
Infusion                Inference using simulation
Infusion.options        Infusion options settings
MAF.options             Control of MAF design and training
MSL                     Maximum likelihood from an inferred likelihood
                        surface
add_reftable            Create or augment a list of simulated
                        distributions of summary statistics
add_simulation          Create or augment a list of simulated
                        distributions of summary statistics
check_raw_stats         Check linear dependencies among raw summary
                        statistics
confint.SLik            Compute confidence intervals by (profile)
                        summary likelihood
constr_crits            Specificying arbitrary constraints on
                        parameters
dMixmod                 Internal S4 classes.
declare_latent          Modeling and predicting latent variables
def_projectors          Wrapper to generate projection functions for
                        all parameters
densv                   Saved computations of inferred log-likelihoods
example_raw             Workflow for primitive method, without
                        projections
example_raw_proj        Workflow for primitive method, and with
                        projections
example_reftable        Workflow for method with reference table
extractors              Summary, print and logLik methods for Infusion
                        results.
focal_refine            Refine summary likelihood profile in focal
                        parameter values
get_LRboot              Summary likelihood ratio tests
get_from                Backward-compatible extractor from
                        summary-likelihood objects
get_nbCluster_range     Control of number of components in Gaussian
                        mixture modelling
get_workflow_design     Workflow design
goftest                 Assessing goodness of fit of inference using
                        simulation
handling_NAs            Discrete probability masses and NA/NaN/Inf in
                        distributions of summary statistics.
infer_SLik_joint        Infer a (summary) likelihood surface from a
                        simulation table
infer_logLs             Infer log Likelihoods using simulated
                        distributions of summary statistics
infer_surface           Infer a (summary) likelihood or tail
                        probability surface from inferred likelihoods
init_reftable           Define starting points in parameter space.
multi_binning           Multivariate histogram
plot.SLik               Plot fit objects
plot1Dprof              Plot likelihood profiles
plot_proj               Diagnostic plots for projections
predict.SLik_j          Evaluate log-likelihood for given parameters
profile.SLik            Compute profile summary likelihood
project.character       Learn a projection method for statistics and
                        apply it
refine                  Refine estimates iteratively
reparam_fit             Conversion to new parameter spaces
rparam                  Sample the parameter space
save_MAFs               Save or load MAF Python objects
simulate.SLik_j         Simulate method for an 'SLik_j' object.
summLik                 Model density evaluation for given data and
                        parameters
