Package index
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bsda_control() - Control parameters for BSDA sample-size planning
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constrain_precision_to_graph() - Project a precision matrix onto a fixed graph (constrained estimate)
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design() - Sample-size planning
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design(<ggm_elicited>) - Sample-size planning for a Gaussian graphical model
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elicit_prior() - Elicit the informative prior
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elicit_prior(<ggm_parameters>) - Elicit a prior for GGM parameters
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generate_graph() - Generate a random graph with a given structure
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ggm_parameters() - Construct GGM prior parameters
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ggm_study() - Constructs an object for simulating Gaussian graphical model prior studies
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prior_ess() - Prior effective sample size
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prior_ess(<ggm_elicited>) - Prior effective sample size for a Gaussian graphical model
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simulate_prior_study() - Simulate a prior study
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simulate_prior_study(<ggm_study>) - Simulate prior studies for a Gaussian graphical model
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validate() - Validate a sample-size plan
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validate(<ggm_design>) - Validate a sample-size plan for a Gaussian graphical model