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| Infusion-package | Inference using simulation |
| 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 |
| boundaries-attribute | Discrete probability masses and NA/NaN/Inf in distributions of summary statistics. |
| class:dMixmod | Internal S4 classes. |
| class:NULLorChar | Internal S4 classes. |
| class:NULLorNum | Internal S4 classes. |
| confint | Compute confidence intervals by (profile) summary likelihood |
| confint.SLik | Compute confidence intervals by (profile) summary likelihood |
| confint.SLikp | Compute confidence intervals by (profile) summary likelihood |
| confint.SLik_j | Compute confidence intervals by (profile) summary likelihood |
| densb | Saved computations of inferred log-likelihoods |
| densv | Saved computations of inferred log-likelihoods |
| dMixmod | Internal S4 classes. |
| dMixmod-class | Internal S4 classes. |
| example_raw | Workflow for originally described method |
| example_reftable | Workflow for method with reference table |
| get_projection | Learn a projection method for statistics and applies it |
| get_projector | Learn a projection method for statistics and applies it |
| handling_NAs | Discrete probability masses and NA/NaN/Inf in distributions of summary statistics. |
| infer_logLs | Infer log Likelihoods using simulated distributions of summary statistics |
| infer_logL_by_GLMM | Infer log Likelihoods using simulated distributions of summary statistics |
| infer_logL_by_Hlscv.diag | Infer log Likelihoods using simulated distributions of summary statistics |
| infer_logL_by_mclust | Infer log Likelihoods using simulated distributions of summary statistics |
| infer_logL_by_Rmixmod | Infer log Likelihoods using simulated distributions of summary statistics |
| infer_SLik_joint | Infer a (summary) likelihood surface from a simulation table |
| infer_surface | Infer a (summary) likelihood or tail probability surface from inferred likelihoods |
| infer_surface.logLs | Infer a (summary) likelihood or tail probability surface from inferred likelihoods |
| infer_surface.tailp | Infer a (summary) likelihood or tail probability surface from inferred likelihoods |
| infer_tailp | Infer log Likelihoods using simulated distributions of summary statistics |
| Infusion | Inference using simulation |
| Infusion.getOption | Infusion options settings |
| Infusion.options | Infusion options settings |
| init_grid | Define starting points in parameter space. |
| MSL | Maximum likelihood from an inferred likelihood surface |
| multi_binning | Multivariate histogram |
| neuralNet | Learn a projection method for statistics and applies it |
| NULLorChar | Internal S4 classes. |
| NULLorChar-class | Internal S4 classes. |
| NULLorNum | Internal S4 classes. |
| NULLorNum-class | Internal S4 classes. |
| parallel | Infusion options settings |
| plot.SLik | Plot SLik or SLikp objects |
| plot.SLikp | Plot SLik or SLikp objects |
| plot.SLik_j | Plot SLik or SLikp objects |
| plot1Dprof | Plot likelihood profiles |
| plot2Dprof | Plot likelihood profiles |
| profile | Compute profile summary likelihood |
| profile.SLik | Compute profile summary likelihood |
| profile.SLik_j | Compute profile summary likelihood |
| project | Learn a projection method for statistics and applies it |
| project.character | Learn a projection method for statistics and applies it |
| project.default | Learn a projection method for statistics and applies it |
| refine | Refine estimates iteratively. |
| refine.default | Refine estimates iteratively. |
| refine.SLik | Refine estimates iteratively. |
| refine.SLikp | Refine estimates iteratively. |
| refine.SLik_j | Refine estimates iteratively. |
| rparam | Sample the parameter space |
| sample_volume | Sample the parameter space |
| saved_seed | Saved computations of inferred log-likelihoods |