Elem                    Select an expression from a numeric mapping
abs.biogeme_expression
                        Absolute value of a Biogeme expression
assisted_specification
                        Run native Biogeme assisted specification
bayesian_estimate       Estimate a model with native Bayesian inference
bayesian_posterior_mean_by_observation
                        Retrieve native posterior means by observation
bayesian_stored_variables
                        Report variables stored in native Bayesian
                        results
biogeme_beta            Create a Biogeme parameter
biogeme_catalog         Create a native-compatible expression catalog
biogeme_catalog_controller
                        Create a neutral controller for one or more
                        expression catalogs
biogeme_check           Check whether rbiogeme is ready to run a model
biogeme_confidence_intervals
                        Calculate native simulation confidence
                        intervals
biogeme_config          Configure the Python runtime used by rbiogeme
biogeme_control         Define estimation and simulation controls
biogeme_database        Create a Biogeme database
biogeme_database_columns
                        Return the columns available in a Biogeme
                        database
biogeme_database_define_variable
                        Define a derived database variable using a
                        complete Biogeme expression
biogeme_database_extract_rows
                        Extract observations from a Biogeme database
biogeme_database_filtered_row_count
                        Return the number of observations excluded by
                        native database filters
biogeme_database_has_column
                        Test whether a Biogeme database contains a
                        column
biogeme_database_is_panel
                        Return whether a database has a declared panel
                        structure
biogeme_database_materialize
                        Materialize lazy database operations through
                        native Biogeme
biogeme_database_nrow   Return the number of rows currently represented
                        by a database
biogeme_database_panel
                        Declare and validate a panel identifier
biogeme_database_remove
                        Remove observations satisfying a Biogeme
                        logical expression
biogeme_database_row_ids
                        Return the original row identifiers of a
                        Biogeme database
biogeme_database_segmentation
                        Generate a native-compatible segmentation
                        specification from a database
biogeme_diagnostics     Report the active R, Python, Biogeme, and
                        numerical-library versions
biogeme_draws           Declare first-class draw metadata for a model
biogeme_error_details   Return the diagnostic details attached to a
                        Biogeme error
biogeme_general_statistics
                        Return native Biogeme general estimation
                        statistics
biogeme_generic_alt_specific_catalogs
                        Build synchronized generic/alternative-specific
                        catalogs
biogeme_max             Maximum of Biogeme expressions
biogeme_mdcev_model     Construct an MDCEV model specification
biogeme_min             Minimum of Biogeme expressions
biogeme_model           Create a generic Biogeme model
biogeme_model_parameters
                        Return the parameter definitions in a model
biogeme_native_parameter_names
                        Return parameter names collected from the
                        compiled native expression
biogeme_panel_database
                        Construct a panel database in one call
biogeme_prior           Declare a native Bayesian prior
biogeme_python          Initialize and return the Python interpreter
                        used by rbiogeme
biogeme_sampling_partition
                        Define a native Biogeme sampling partition
biogeme_segmentation    Define a discrete parameter segmentation
biogeme_segmentation_catalogs
                        Build synchronized catalogs for possible
                        parameter segmentations
biogeme_setup           Automatically prepare the native Biogeme
                        runtime
boxcox                  Box-Cox transformation
catalog_configuration_ids
                        Return catalog configuration identifiers using
                        native Biogeme
check_derivatives       Check analytical derivatives against native
                        finite differences
check_monte_carlo_stability
                        Run native post-estimation Monte Carlo
                        draw-stability diagnostics
count_number_of_specifications
                        Count catalog specifications using native
                        Biogeme
cross_nested_log_probability
                        Construct a native cross-nested-logit
                        log-probability expression
cross_nested_logit_correlation
                        Calculate the native cross-nested-logit
                        error-term correlation matrix
cross_nested_logit_model
                        Define a cross-sectional cross-nested-logit
                        model
cross_nested_nest       Define one cross-nested-logit nest
cross_nested_nests      Define the complete cross-nested-logit nest
                        structure
cross_nested_probability
                        Construct a native cross-nested-logit
                        probability expression
cross_nested_sparsity_report
                        Summarize the structural sparsity of a CNL nest
                        specification
cross_variable          Define a sampled-alternative cross-variable
derive                  Symbolically differentiate an expression with
                        respect to a named variable
distributed_parameter   Store a simulated individual-level parameter in
                        Bayesian results
draw                    Create a named Biogeme draw node
estimate                Estimate a Biogeme model
estimate_catalog        Estimate every specification in a native
                        Biogeme catalog
estimate_configuration
                        Estimate one named native catalog configuration
estimate_or_load        Estimate or explicitly load a standard Biogeme
                        result
estimate_sampled_alternatives
                        Estimate a native sampled-alternative model
evaluate_biogeme_expression
                        Evaluate a standalone expression with native
                        Biogeme
evaluate_biogeme_expression_c
                        Evaluate one expression with native row-wise or
                        aggregated JAX calculation
integrate_normal        Integrate an expression over a standard normal
                        random variable
linear_term             Define one coefficient-variable term for a
                        linear utility
linear_utility          Construct a native linear utility expression
logit_log_probability   Construct a native logit log-probability
                        expression
logit_model             Define a cross-sectional multinomial logit
                        model
logit_probability       Construct a native logit probability expression
logzero                 A numerically safe logarithm that returns zero
                        at zero
mdcev_estimate          Estimate an MDCEV model with native Biogeme
mdcev_forecast          Forecast MDCEV consumption using native Biogeme
                        algorithms
mdcev_forecast_describe
                        Return native pandas description tables for an
                        MDCEV forecast
mdcev_generate_epsilons
                        Generate native MDCEV error-term draws
mdcev_parameter_table   Return native Biogeme's estimated-parameter
                        table for an MDCEV fit
mdcev_short_summary     Return native Biogeme's compact MDCEV
                        estimation summary
mdcev_validate_forecast
                        Validate the two native MDCEV forecasting
                        algorithms
monte_carlo             Monte Carlo average of an expression
nested_endogenous_sampling_log_probability
                        Construct a native nested-logit log probability
                        with endogenous-sampling correction
nested_log_probability
                        Construct a native nested-logit log-probability
                        expression
nested_logit_correlation
                        Calculate the native nested-logit error-term
                        correlation matrix
nested_logit_model      Define a cross-sectional nested-logit model
nested_nest             Define one non-trivial nested-logit nest
nested_nests            Define the complete nested-logit nest structure
nested_probability      Construct a native nested-logit probability
                        expression
normal_cdf              Normal cumulative distribution function
normal_pdf              Normal probability density function
ordered_logit_log_probability
                        Construct an ordered-logit log-likelihood
                        expression
ordered_probit_log_probability
                        Construct an ordered-probit log-likelihood
                        expression
panel_likelihood_trajectory
                        Aggregate an observation-level likelihood over
                        a panel trajectory
pareto_post_processing
                        Re-estimate the Pareto-optimal models saved by
                        native Biogeme
piecewise               Piecewise-linear expression using native
                        Biogeme naming rules
predict.biogeme_fit     Predict native probabilities or simulation
                        expressions
profile_jax             Profile native JAX formula evaluation
quick_estimate          Estimate a Biogeme model using the native
                        quick-estimation operation
random_variable         Create a random variable for native numerical
                        integration
rbiogeme-package        Interface to Biogeme
read_results            Read standard Biogeme YAML results
safe_exp                Numerically safe exponential
sampled_alternatives_model
                        Define a sampled-alternative Biogeme model
sampling_segment_sizes
                        Generate balanced sampling segment sizes
save_results            Save standard Biogeme YAML results
segment_beta            Create a segmented parameter expression
simulate                Simulate named native Biogeme expressions at
                        fixed estimates
simulate_bayesian       Simulate formulas over Bayesian posterior draws
simulate_single_formula
                        Evaluate one native Biogeme formula as an
                        aggregated scalar
sqrt.biogeme_expression
                        Square root of a Biogeme expression
swissmetro_b01b_model   Build the segmented linear-utility Swissmetro
                        specification from b01b
swissmetro_data         Prepare the Swissmetro database used by
                        Biogeme's examples
swissmetro_mnl_model    Build the baseline Swissmetro MNL specification
validate                Validate a model using native Biogeme
                        cross-validation
validate_model          Validate a model before estimation
variable                Create a Biogeme data variable
