.update_obs             Updating an 'SLik_j' object for new data
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, 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
