| add.reftable | Create or augment a list of simulated distributions of... |
| add.simulation | Create or augment a list of simulated distributions of... |
| check_raw_stats | Check linear dependencies among raw summary statistics |
| confint.SLik | Compute confidence intervals by (profile) summary likelihood |
| densv | Saved computations of inferred log-likelihoods |
| dMixmod | Internal S4 classes. |
| 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_from | Backward-compatible extractor from summary-likelihood objects |
| get_LRboot | Summary likelihood ratio tests |
| get_nbCluster_range | Control of number of components in Gaussian mixture modelling |
| goftest | Assessing goodness of fit of inference using simulation |
| handling_NAs | Discrete probability masses and NA/NaN/Inf in distributions... |
| infer_jointDens | Infer a (summary) likelihood surface from a simulation table |
| infer_logLs | Infer log Likelihoods using simulated distributions of... |
| infer_surface | Infer a (summary) likelihood or tail probability surface from... |
| Infusion | Inference using simulation |
| Infusion-internal | Internal Infusion Functions |
| init_grid | Define starting points in parameter space. |
| magic.binning | Multivariate histogram |
| MSL | Maximum likelihood from an inferred likelihood surface |
| options | Infusion options settings |
| plot1Dprof | Plot likelihood profiles |
| plot.SLik | Plot SLik or SLikp objects |
| predict.SLik_j | Evaluate log-likelihood for given parameters |
| profile.SLik | Compute profile summary likelihood |
| project | Learn a projection method for statistics and apply it |
| refine.SLik | Refine estimates iteratively. |
| sample_volume | Sample the parameter space |
| summLik | Model density evaluation for given data and parameters |
| write_workflow | Workflow template |
