%.%                     Get the attribute of an object
dd_LL                   Log-Likelihood for compensatory hmnl model
dd_LL_sr                Log-Likelihood for screening hmnl model
dd_dem                  Discrete Choice Predictions (HMNL)
dd_dem_sr               Discrete Choice Predictions (HMNL with
                        attribute-based screening)
dd_est_hmnl             Estimate discrete choice model (HMNL)
dd_est_hmnl_screen      Estimate discrete choice model (HMNL,
                        attribute-based screening (not including
                        price))
dummify                 Create dummy variables within a tibble
dummyvar                Dummy-code a categorical variable
ec_boxplot_MU           Generate MU_theta boxplot
ec_boxplot_screen       Generate Screening probability boxplot
ec_dem_aggregate        Aggregate posterior draws of demand
ec_dem_eval             Evaluate (hold-out) demand predictions
ec_dem_summarise        Summarize posterior draws of demand
ec_demcurve             Create demand curves
ec_demcurve_cond_dem    Create demand-incidence curves
ec_demcurve_inci        Create demand-incidence curves
ec_draws_MU             Obtain MU_theta draws
ec_draws_screen         Obtain Screening probability draws
ec_estimates_MU         Obtain upper level model estimates
ec_estimates_SIGMA      Obtain posterior mean estimates of upper level
                        covariance
ec_estimates_SIGMA_corr
                        Obtain posterior mean estimates of upper level
                        correlations
ec_estimates_screen     Summarize attribute-based screening parameters
ec_gen_err_ev1          Simulate error realization from EV1
                        distribution
ec_gen_err_normal       Simulate error realization from Normal
                        distribution
ec_lmd_NR               Obtain Log Marginal Density from draw objects
ec_lol_tidy1            Convert "list of lists" format to long "tidy"
                        format
ec_screen_summarise     Summarize posterior draws of screening
ec_screenprob_sr        Screening probabilities of choice alternatives
ec_summarize_attrlvls   Summarize attributes and levels
ec_trace_MU             Generate MU_theta traceplot
ec_trace_screen         Generate Screening probability traceplots
ec_undummy              Converts a set of dummy variables into a single
                        categorical variable
ec_undummy_lowhigh      Convert dummy-coded variables to low/high
                        factor
ec_undummy_lowmediumhigh
                        Convert dummy-coded variables to
                        low/medium/high factor
ec_undummy_yesno        Convert dummy-coded variables to yes/no factor
ec_util_choice_to_long
                        Convert a vector of choices to long format
ec_util_dummy_mutualeclusive
                        Find mutually exclusive columns
get_attr_lvl            Obtain attributes and levels from tidy choice
                        data with dummies
icecream                icecream
icecream_discrete       icecream_discrete
logMargDenNRu           Log Marginal Density (Newton-Raftery)
pizza                   pizza
prep_newprediction      Match factor levels between two datasets
vd_LL_vdm               Log-Likelihood for compensatory volumetric
                        demand model
vd_LL_vdm_screen        Log-Likelihood for conjunctive-screening
                        volumetric demand model
vd_LL_vdmss             Log-Likelihood for volumetric demand model with
                        set-size variation
vd_add_prodid           Add product id to demand draws
vd_dem_summarise        Summarize posterior draws of demand (volumetric
                        models only)
vd_dem_vdm              Demand Prediction (Volumetric Demand Model)
vd_dem_vdm_screen       Demand Prediction (Volumetric demand,
                        attribute-based screening)
vd_dem_vdm_ss           Demand Prediction (Volumetric demand,
                        accounting for set-size variation, EV1 errors)
vd_est_vdm              Estimate volumetric demand model
vd_est_vdm_screen       Estimate volumetric demand model with
                        attribute-based conjunctive screening
vd_est_vdm_ss           Estimate volumetric demand model accounting for
                        set size variation (1st order)
vd_long_tidy            Generate tidy choice data with dummies from
                        long-format choice data
vd_prepare              Prepare choice data for analysis
vd_prepare_nox          Prepare choice data for analysis (without x
                        being present)
vd_thin_draw            Thin 'echoice2'-vd draw objects
