Index _ | A | B | C | D | E | F | H | I | L | M | N | O | P | R | S | T | U | V | W | X | Y _ __init__() (rxmc.config.CalibrationConfig method) (rxmc.config.ParameterConfig method) (rxmc.constraint.Constraint method) (rxmc.correlated_discrepancy_likelihood_model.SklearnKernelGPDiscrepancyModel method) (rxmc.elastic_diffxs_model.ElasticDifferentialXSModel method) (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) (rxmc.evidence.Evidence method) (rxmc.ias_pn_model.IsobaricAnalogPNXSModel method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation method) (rxmc.likelihood_model.Chi2LikelihoodModel method) (rxmc.likelihood_model.FixedCovarianceLikelihood method) (rxmc.likelihood_model.LikelihoodModel method) (rxmc.likelihood_model.ParametricLikelihoodModel method) (rxmc.likelihood_model.StudentTLikelihoodModel method) (rxmc.likelihood_model.UnknownModelError method) (rxmc.likelihood_model.UnknownNoiseErrorModel method) (rxmc.likelihood_model.UnknownNoiseFractionErrorModel method) (rxmc.likelihood_model.UnknownNormalizationErrorModel method) (rxmc.likelihood_model.UnknownNormalizationModel method) (rxmc.observation.FixedCovarianceObservation method) (rxmc.observation.Observation method) (rxmc.param_sampling.AdaptiveMetropolisSampler method) (rxmc.param_sampling.BatchedAdaptiveMetropolisSampler method) (rxmc.param_sampling.MetropolisHastingsSampler method) (rxmc.param_sampling.Sampler method) (rxmc.params.Parameter method) (rxmc.physical_model.PhysicalModel method) (rxmc.physical_model.Polynomial method) (rxmc.priors.IndependentPrior method) (rxmc.priors.TruncatedNormalPrior method) (rxmc.proposal.HalfNormalProposalDistribution method) (rxmc.proposal.LogspaceNormalProposalDistribution method) (rxmc.proposal.NormalProposalDistribution method) (rxmc.proposal.ProposalDistribution method) (rxmc.walker.Walker method) A adaptive_metropolis() (in module rxmc.adaptive_metropolis) AdaptiveMetropolisSampler (class in rxmc.param_sampling) B batch_acceptance_fractions() (rxmc.param_sampling.Sampler method) BatchedAdaptiveMetropolisSampler (class in rxmc.param_sampling) C calculate_normalization() (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) CalibrationConfig (class in rxmc.config) chi2() (rxmc.constraint.Constraint method) (rxmc.likelihood_model.FixedCovarianceLikelihood method) (rxmc.likelihood_model.LikelihoodModel method) (rxmc.likelihood_model.ParametricLikelihoodModel method) (rxmc.likelihood_model.UnknownNormalizationModel method) Chi2LikelihoodModel (class in rxmc.likelihood_model) conditional_posterior() (rxmc.config.CalibrationConfig method) Constraint (class in rxmc.constraint) covariance() (rxmc.correlated_discrepancy_likelihood_model.SklearnKernelGPDiscrepancyModel method) (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation method) (rxmc.likelihood_model.FixedCovarianceLikelihood method) (rxmc.likelihood_model.LikelihoodModel method) (rxmc.likelihood_model.ParametricLikelihoodModel method) (rxmc.likelihood_model.UnknownModelError method) (rxmc.likelihood_model.UnknownNoiseErrorModel method) (rxmc.likelihood_model.UnknownNoiseFractionErrorModel method) (rxmc.likelihood_model.UnknownNormalizationErrorModel method) (rxmc.likelihood_model.UnknownNormalizationModel method) (rxmc.observation.FixedCovarianceObservation method) (rxmc.observation.Observation method) D dimensions (rxmc.config.CalibrationConfig attribute) E ElasticDifferentialXSModel (class in rxmc.elastic_diffxs_model) ElasticDifferentialXSObservation (class in rxmc.elastic_diffxs_observation) empirical_coverage() (rxmc.constraint.Constraint method) evaluate() (rxmc.elastic_diffxs_model.ElasticDifferentialXSModel method) (rxmc.ias_pn_model.IsobaricAnalogPNXSModel method) (rxmc.physical_model.PhysicalModel method) (rxmc.physical_model.Polynomial method) Evidence (class in rxmc.evidence) F FixedCovarianceLikelihood (class in rxmc.likelihood_model) FixedCovarianceObservation (class in rxmc.observation) from_measurement() (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation class method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation class method) H HalfNormalProposalDistribution (class in rxmc.proposal) I IndependentPrior (class in rxmc.priors) indices (rxmc.config.CalibrationConfig attribute) IsobaricAnalogPNObservation (class in rxmc.ias_pn_observation) IsobaricAnalogPNXSModel (class in rxmc.ias_pn_model) L LikelihoodModel (class in rxmc.likelihood_model) log_likelihood() (rxmc.config.CalibrationConfig method) (rxmc.constraint.Constraint method) (rxmc.evidence.Evidence method) (rxmc.likelihood_model.Chi2LikelihoodModel method) (rxmc.likelihood_model.FixedCovarianceLikelihood method) (rxmc.likelihood_model.LikelihoodModel method) (rxmc.likelihood_model.ParametricLikelihoodModel method) (rxmc.likelihood_model.StudentTLikelihoodModel method) (rxmc.likelihood_model.UnknownNormalizationModel method) (rxmc.walker.Walker method) log_posterior() (rxmc.config.CalibrationConfig method) (rxmc.walker.Walker method) log_posterior_batch() (rxmc.config.CalibrationConfig method) log_prior() (rxmc.config.CalibrationConfig method) (rxmc.walker.Walker method) logpdf() (rxmc.priors.IndependentPrior method) (rxmc.priors.TruncatedNormalPrior method) LogspaceNormalProposalDistribution (class in rxmc.proposal) M marginal_log_likelihood() (rxmc.constraint.Constraint method) metropolis_hastings() (in module rxmc.metropolis_hastings) MetropolisHastingsSampler (class in rxmc.param_sampling) model() (rxmc.constraint.Constraint method) most_recent_batch_acceptance_fraction() (rxmc.param_sampling.Sampler method) N n_data_pts (rxmc.observation.Observation attribute) ndim (rxmc.config.CalibrationConfig attribute) NormalProposalDistribution (class in rxmc.proposal) num_pts_within_interval() (rxmc.constraint.Constraint method) (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation method) (rxmc.observation.Observation method) O Observation (class in rxmc.observation) overall_acceptance_fraction() (rxmc.param_sampling.Sampler method) P Parameter (class in rxmc.params) parameter_configs (rxmc.config.CalibrationConfig property) parameter_names (rxmc.config.CalibrationConfig property) ParameterConfig (class in rxmc.config) parameters (rxmc.config.CalibrationConfig property) ParametricLikelihoodModel (class in rxmc.likelihood_model) PhysicalModel (class in rxmc.physical_model) Polynomial (class in rxmc.physical_model) predict() (rxmc.config.CalibrationConfig method) (rxmc.constraint.Constraint method) prior (rxmc.config.CalibrationConfig property) prior_logpdf() (rxmc.config.ParameterConfig method) prior_transform() (rxmc.config.CalibrationConfig method) (rxmc.config.ParameterConfig method) (rxmc.priors.IndependentPrior method) (rxmc.priors.TruncatedNormalPrior method) ProposalDistribution (class in rxmc.proposal) R record_batch() (rxmc.param_sampling.Sampler method) residual() (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation method) (rxmc.likelihood_model.LikelihoodModel method) (rxmc.likelihood_model.UnknownNormalizationModel method) (rxmc.observation.Observation method) run_likelihood_batches() (rxmc.walker.Walker method) run_model_batch() (rxmc.walker.Walker method) rvs() (rxmc.priors.IndependentPrior method) (rxmc.priors.TruncatedNormalPrior method) S sample() (rxmc.param_sampling.AdaptiveMetropolisSampler method) (rxmc.param_sampling.BatchedAdaptiveMetropolisSampler method) (rxmc.param_sampling.Sampler method) Sampler (class in rxmc.param_sampling) SklearnKernelGPDiscrepancyModel (class in rxmc.correlated_discrepancy_likelihood_model) split_parameters() (rxmc.config.CalibrationConfig method) starting_location() (rxmc.config.CalibrationConfig method) statistical_covariance (rxmc.observation.Observation attribute) StudentTLikelihoodModel (class in rxmc.likelihood_model) systematic_normalization_covariance (rxmc.observation.Observation attribute) systematic_offset_covariance (rxmc.observation.Observation attribute) T TruncatedNormalPrior (class in rxmc.priors) U UnknownModelError (class in rxmc.likelihood_model) UnknownNoiseErrorModel (class in rxmc.likelihood_model) UnknownNoiseFractionErrorModel (class in rxmc.likelihood_model) UnknownNormalizationErrorModel (class in rxmc.likelihood_model) UnknownNormalizationModel (class in rxmc.likelihood_model) V visualizable_model_prediction() (rxmc.elastic_diffxs_model.ElasticDifferentialXSModel method) (rxmc.ias_pn_model.IsobaricAnalogPNXSModel method) W walk() (rxmc.walker.Walker method) Walker (class in rxmc.walker) X x (rxmc.observation.Observation attribute) x0() (rxmc.config.ParameterConfig method) Y y (rxmc.observation.Observation attribute)