Neural Simulation-Based Inference

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Documentation for package ‘neuralsbi’ version 0.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.data.frame.nsbi_samples	Summaries and tidy accessors
c2st	Classifier two-sample test (C2ST)
density_estimator	Conditional density estimators
diagnostics	Posterior diagnostics
embedding_mlp	Embedding (summary) networks for structured observations
expected_coverage	Expected coverage of central credible intervals
log_prob	Posterior log-density
map_estimate	Maximum a posteriori (MAP) estimate
npe	Neural Posterior Estimation (NPE)
npe_sequential	Sequential NPE with truncated-prior proposals (TSNPE)
pairplot	Visualize posterior samples
plot_coverage	Plot nominal vs. empirical credible-interval coverage
plot_posterior_predictive	Plot posterior predictive checks
plot_sbc	Plot an SBC rank histogram
plot_tarp	Plot TARP expected coverage
posterior	Posterior objects
posterior_predictive	Posterior predictive draws
priors	Priors for neural simulation-based inference
prior_custom	Build a prior from arbitrary sampling / density functions
prior_normal	Independent normal prior
prior_uniform	Box-uniform (independent uniform) prior
sample	Draw samples (S3 generic)
sample.default	Draw samples (S3 generic)
sample.nsbi_posterior	Sample from a posterior
sample_posterior	Sample from a posterior (non-generic alias)
sample_prior	Draw samples from a prior
sbc	Simulation-Based Calibration (SBC)
simulate_for_sbi	Run a simulator over prior draws
summaries	Summaries and tidy accessors
summary.nsbi_npe	Summaries and tidy accessors
summary.nsbi_posterior	Summaries and tidy accessors
summary.nsbi_samples	Summaries and tidy accessors
tarp	TARP expected coverage
tasks	Benchmark tasks
task_gaussian_linear	Benchmark tasks
task_sir	Benchmark tasks
task_slcp	Benchmark tasks
task_two_moons	Benchmark tasks
within_support	Test whether parameters lie within the prior support