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"monty_differentiation", "title": "Differentiate expressions", "topics": [ "monty_differentiation" ] }, { "page": "monty_domain_expand", "title": "Expand (and check) domain against a packer", "topics": [ "monty_domain_expand" ] }, { "page": "monty_dsl", "title": "Domain Specific Language for monty", "topics": [ "monty_dsl" ] }, { "page": "monty_dsl_distributions", "title": "Information about supported distributions", "topics": [ "monty_dsl_distributions" ] }, { "page": "monty_dsl_error_explain", "title": "Explain monty error", "topics": [ "monty_dsl_error_explain" ] }, { "page": "monty_dsl_parse_distribution", "title": "Parse distribution expression", "topics": [ "monty_dsl_parse_distribution" ] }, { "page": "monty_example", "title": "Load example models from monty. These models exist so that we can create (hopefully) interesting examples in the documentation without them becoming overwhelming. You should probably not use these for anything other than exploring the package.", "topics": [ "monty_example" ] }, { "page": "monty_model", "title": "Create basic model", "topics": [ "monty_model" ] }, { "page": "monty_model_combine", "title": "Combine two models", "topics": [ "monty_model_combine" ] }, { "page": "monty_model_density", "title": "Compute log density", "topics": [ "monty_model_density" ] }, { "page": "monty_model_direct_sample", "title": "Directly sample from a model", "topics": [ "monty_model_direct_sample" ] }, { "page": "monty_model_function", "title": "Create 'monty_model' from a function computing density", "topics": [ "monty_model_function" ] }, { "page": "monty_model_gradient", "title": "Compute gradient of log density", "topics": [ "monty_model_gradient" ] }, { "page": "monty_model_properties", "title": "Describe model properties", "topics": [ "monty_model_properties" ] }, { "page": "monty_model_split", "title": "Split a combined model", "topics": [ "monty_model_split" ] }, { "page": "monty_observer", "title": "Create observer", "topics": [ "monty_observer" ] }, { "page": "monty_packer", "title": "Build a packer", "topics": [ "monty_packer" ] }, { "page": "monty_packer_grouped", "title": "Build a nested packer", "topics": [ "monty_packer_grouped" ] }, { "page": "monty_random_beta", "title": "Sample from beta distribution", "topics": [ "monty_random_beta", "monty_random_n_beta" ] }, { "page": "monty_random_beta_binomial", "title": "Sample from beta-binomial distribution", "topics": [ "monty_random_beta_binomial_ab", "monty_random_beta_binomial_prob", "monty_random_n_beta_binomial_ab", "monty_random_n_beta_binomial_prob" ] }, { "page": "monty_random_binomial", "title": "Sample from binomial distribution", "topics": [ "monty_random_binomial", "monty_random_n_binomial" ] }, { "page": "monty_random_cauchy", "title": "Sample from Cauchy distribution", "topics": [ "monty_random_cauchy", "monty_random_n_cauchy" ] }, { "page": "monty_random_exponential", "title": "Sample from exponential distribution", "topics": [ "monty_random_exponential_mean", "monty_random_exponential_rate", "monty_random_n_exponential_mean", "monty_random_n_exponential_rate" ] }, { "page": "monty_random_gamma", "title": "Sample from a gamma distribution. 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