Index _ | A | B | C | D | E | F | G | H | I | K | 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.covariance.ConstraintCovariance method) (rxmc.covariance.StackContext method) (rxmc.covariance.Term method) (rxmc.covariance.TermContext 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.Chi2 method) (rxmc.likelihood_model.GaussianLikelihood method) (rxmc.likelihood_model.Likelihood method) (rxmc.likelihood_model.StudentT 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.transforms.Transform method) (rxmc.walker.Walker method) A active (rxmc.constraint.Constraint attribute) active_matrix() (rxmc.covariance.ConstraintCovariance method) adaptive_metropolis() (in module rxmc.adaptive_metropolis) AdaptiveMetropolisSampler (class in rxmc.param_sampling) add_to() (rxmc.covariance.Term method) apply_transform() (rxmc.physical_model.PhysicalModel method) as_transform() (in module rxmc.transforms) averaging() (in module rxmc.covariance) B batch_acceptance_fractions() (rxmc.param_sampling.Sampler method) BatchedAdaptiveMetropolisSampler (class in rxmc.param_sampling) bind() (rxmc.covariance.Term method) block_cholesky() (rxmc.covariance.ConstraintCovariance method) blocks (rxmc.covariance.ConstraintCovariance property) bound (rxmc.covariance.Term property) C calculate_normalization() (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation method) CalibrationConfig (class in rxmc.config) Chi2 (class in rxmc.likelihood_model) chi2() (rxmc.constraint.Constraint method) (rxmc.likelihood_model.Likelihood method) cholesky() (rxmc.covariance.ConstraintCovariance method) compare_logz() (in module rxmc.model_comparison) complement() (rxmc.constraint.Constraint method) conditional_posterior() (rxmc.config.CalibrationConfig method) constant() (rxmc.covariance.StackContext class method) constant_amplitude() (in module rxmc.covariance) Constraint (class in rxmc.constraint) ConstraintCovariance (class in rxmc.covariance) constraints (rxmc.evidence.Evidence attribute) couples_offdiagonal (rxmc.covariance.Term property) covariance (rxmc.constraint.Constraint attribute) covariance_matrix() (rxmc.constraint.Constraint method) coverage_curve() (in module rxmc.model_comparison) coverage_error() (in module rxmc.model_comparison) D derivative() (rxmc.transforms.Transform method) 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) exp (in module rxmc.transforms) exp_growth() (in module rxmc.covariance) exp_growth_amplitude() (in module rxmc.covariance) F from_measurement() (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation class method) (rxmc.ias_pn_observation.IsobaricAnalogPNObservation class method) G GaussianLikelihood (class in rxmc.likelihood_model) gp_posterior_predictive() (in module rxmc.predictive) H HalfNormalProposalDistribution (class in rxmc.proposal) heldout_log_predictive() (in module rxmc.model_comparison) I identity (in module rxmc.transforms) (rxmc.observation.Observation attribute) IndependentPrior (class in rxmc.priors) indices (rxmc.config.CalibrationConfig attribute) inverse (rxmc.transforms.Transform property) is_identity (rxmc.transforms.Transform property) IsobaricAnalogPNObservation (class in rxmc.ias_pn_observation) IsobaricAnalogPNXSModel (class in rxmc.ias_pn_model) K k (rxmc.elastic_diffxs_observation.ElasticDifferentialXSObservation property) kernel_term() (in module rxmc.covariance) L label (rxmc.observation.Observation attribute) Likelihood (class in rxmc.likelihood_model) local_context() (rxmc.covariance.Term method) log (in module rxmc.transforms) log_jacobian (rxmc.constraint.Constraint property) (rxmc.observation.Observation property) log_jacobian() (in module rxmc.model_comparison) log_likelihood() (in module rxmc.likelihood_model) (rxmc.config.CalibrationConfig method) (rxmc.constraint.Constraint method) (rxmc.evidence.Evidence method) (rxmc.likelihood_model.Chi2 method) (rxmc.likelihood_model.GaussianLikelihood method) (rxmc.likelihood_model.Likelihood method) (rxmc.likelihood_model.StudentT method) (rxmc.walker.Walker method) log_posterior() (rxmc.config.CalibrationConfig method) (rxmc.walker.Walker method) log_posterior_batch() (rxmc.config.CalibrationConfig method) log_posterior_predictive() (in module rxmc.model_comparison) log_prior() (rxmc.config.CalibrationConfig method) (rxmc.walker.Walker method) logpdf() (rxmc.priors.IndependentPrior method) (rxmc.priors.TruncatedNormalPrior method) LogspaceNormalProposalDistribution (class in rxmc.proposal) logz_summary() (in module rxmc.model_comparison) M mahalanobis_distance_sqr_cholesky() (in module rxmc.likelihood_model) marginal_log_likelihood() (rxmc.constraint.Constraint method) mask (rxmc.observation.Observation attribute) masked() (rxmc.constraint.Constraint method) (rxmc.observation.Observation method) masked_where() (rxmc.observation.Observation method) matrix() (rxmc.covariance.ConstraintCovariance method) metropolis_hastings() (in module rxmc.metropolis_hastings) MetropolisHastingsSampler (class in rxmc.param_sampling) model_error_term() (in module rxmc.covariance) momentum_transfer() (in module rxmc.elastic_diffxs_observation) most_recent_batch_acceptance_fraction() (rxmc.param_sampling.Sampler method) N n_active (rxmc.observation.Observation property) n_data_pts (rxmc.constraint.Constraint attribute) (rxmc.observation.Observation attribute) n_data_pts_total (rxmc.constraint.Constraint attribute) n_params (rxmc.constraint.Constraint attribute) (rxmc.covariance.ConstraintCovariance property) (rxmc.likelihood_model.Likelihood attribute) (rxmc.transforms.Transform property) ndim (rxmc.config.CalibrationConfig attribute) noise_fraction_term() (in module rxmc.covariance) noise_term() (in module rxmc.covariance) normalization_term() (in module rxmc.covariance) NormalProposalDistribution (class in rxmc.proposal) num_pts_within_interval() (rxmc.constraint.Constraint method) (rxmc.observation.Observation method) O Observation (class in rxmc.observation) offset_term() (in module rxmc.covariance) ones() (in module rxmc.covariance) 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) parametric_constraints (rxmc.evidence.Evidence attribute) parametric_indices (rxmc.evidence.Evidence attribute) params (rxmc.constraint.Constraint attribute) (rxmc.likelihood_model.Likelihood attribute) per_observation_scaling() (in module rxmc.transforms) PhysicalModel (class in rxmc.physical_model) Polynomial (class in rxmc.physical_model) predict() (rxmc.config.CalibrationConfig method) (rxmc.constraint.Constraint method) predict_and_covariance() (rxmc.constraint.Constraint method) predict_parametric() (rxmc.config.CalibrationConfig method) predictive_band() (in module rxmc.predictive) predictive_draws() (in module rxmc.model_comparison) 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) 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) scale() (in module rxmc.transforms) sharpness() (in module rxmc.model_comparison) split_parameters() (rxmc.config.CalibrationConfig method) split_params() (rxmc.physical_model.PhysicalModel method) split_samples() (in module rxmc.model_comparison) StackContext (class in rxmc.covariance) stacked_distance() (rxmc.covariance.ConstraintCovariance method) stacked_supports() (in module rxmc.covariance) starting_location() (rxmc.config.CalibrationConfig method) statistical_term() (in module rxmc.covariance) (rxmc.observation.Observation method) StudentT (class in rxmc.likelihood_model) support (rxmc.covariance.TermContext attribute) supports (rxmc.covariance.StackContext attribute) systematic_term() (in module rxmc.covariance) systematic_terms() (rxmc.observation.Observation method) T Term (class in rxmc.covariance) TermContext (class in rxmc.covariance) total_predictive_band() (in module rxmc.predictive) Transform (class in rxmc.transforms) transform (rxmc.observation.Observation attribute) TruncatedNormalPrior (class in rxmc.priors) U uses_block_path (rxmc.covariance.ConstraintCovariance property) V value() (rxmc.covariance.Term method) 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) weighted_marginal_log_likelihood() (rxmc.evidence.Evidence method) X x (rxmc.constraint.Constraint property) (rxmc.covariance.StackContext attribute) (rxmc.covariance.TermContext attribute) x0() (rxmc.config.ParameterConfig method) x_basis() (in module rxmc.covariance) Y y (rxmc.constraint.Constraint property) (rxmc.covariance.StackContext attribute) (rxmc.covariance.TermContext attribute) y_stat_err (rxmc.observation.Observation attribute) y_sys_err_normalization (rxmc.observation.Observation attribute) y_sys_err_offset (rxmc.observation.Observation attribute) ym (rxmc.covariance.StackContext attribute) (rxmc.covariance.TermContext attribute) ym() (in module rxmc.covariance)