Inference Using Simulation

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Documentation for package ‘Infusion’ version 2.1.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

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.
check_raw_stats	Check linear dependencies among raw 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 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_from.default	Backward-compatible extractor from summary-likelihood objects
get_from.SLik	Backward-compatible extractor from summary-likelihood objects
get_from.SLik_j	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
get_projection	Learn a projection method for statistics and apply it
get_projector	Learn a projection method for statistics and apply it
goftest	Assessing goodness of fit of inference using simulation
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.
init_reftable	Define starting points in parameter space.
logLik	Summary, print and logLik methods for Infusion results.
logLik.SLik	Summary, print and logLik methods for Infusion results.
logLik.SLik_j	Summary, print and logLik methods for Infusion results.
MSL	Maximum likelihood from an inferred likelihood surface
multi_binning	Multivariate histogram
NA_handling	Discrete probability masses and NA/NaN/Inf in distributions of summary statistics.
neuralNet	Learn a projection method for statistics and apply it
NULLorChar	Internal S4 classes.
NULLorChar-class	Internal S4 classes.
NULLorNum	Internal S4 classes.
NULLorNum-class	Internal S4 classes.
parallel	Infusion options settings
plot.dMixmod	Internal S4 classes.
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
plot_proj	Learn a projection method for statistics and apply it
predict.SLik_j	Evaluate log-likelihood for given parameters
print	Summary, print and logLik methods for Infusion results.
print.logLs	Summary, print and logLik methods for Infusion results.
print.SLik	Summary, print and logLik methods for Infusion results.
print.SLikp	Summary, print and logLik methods for Infusion results.
print.SLik_j	Summary, print and logLik methods for Infusion results.
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 apply it
project.character	Learn a projection method for statistics and apply it
project.default	Learn a projection method for statistics and apply 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.
refine_nbCluster	Control of number of components in Gaussian mixture modelling
rparam	Sample the parameter space
sample_volume	Sample the parameter space
saved_seed	Saved computations of inferred log-likelihoods
seq_nbCluster	Control of number of components in Gaussian mixture modelling
SLRT	Summary likelihood ratio tests
summary	Summary, print and logLik methods for Infusion results.
summary.logLs	Summary, print and logLik methods for Infusion results.
summary.SLik	Summary, print and logLik methods for Infusion results.
summary.SLikp	Summary, print and logLik methods for Infusion results.
summary.SLik_j	Summary, print and logLik methods for Infusion results.
summLik	Model density evaluation for given data and parameters
summLik.default	Model density evaluation for given data and parameters
summLik.SLik_j	Model density evaluation for given data and parameters
write_workflow	Workflow template