AIC.beezdemand_hurdle   AIC for Hurdle Demand Model
BIC.beezdemand_hurdle   BIC for Hurdle Demand Model
ChangeData              ChangeData
CheckCols               Check Column Names
CheckUnsystematic       Systematic Purchase Task Data Checker
ExtraF                  ExtraF
FitCurves               FitCurves
FitMeanCurves           Fit Pooled/Mean Curves
GetAnalyticPmax         Get pmax
GetAnalyticPmaxFallback
                        Analytic Pmax Fallback
GetDescriptives         Get Purchase Task Descriptive Summary
GetEmpirical            GetEmpirical
GetK                    Get K
GetSharedK              Get Shared K
GetValsForSim           Get Values for SimulateDemand
PlotCurve               Plot Curve
PlotCurves              Plot Curves
RecodeOutliers          Recode Outliers
ReplaceZeros            Replace Zeros
SimulateDemand          Simulate Demand Data
annotation_logticks2    annotation_logticks2
anova.beezdemand_hurdle
                        ANOVA Method for Hurdle Demand Models
anova.beezdemand_nlme   ANOVA Method for NLME Demand Models
apt                     Example alcohol purchase task data
apt_full                Full alcohol purchase task dataset
augment.beezdemand_fixed
                        Augment a beezdemand_fixed Model with Fitted
                        Values and Residuals
augment.beezdemand_hurdle
                        Augment a beezdemand_hurdle Model with Fitted
                        Values and Residuals
augment.beezdemand_nlme
                        Augment a beezdemand_nlme Model with Fitted
                        Values and Residuals
beezdemand_descriptive_methods
                        S3 Methods for beezdemand_descriptive Objects
beezdemand_empirical_methods
                        S3 Methods for beezdemand_empirical Objects
calc_group_metrics      Calculate Group-Level Demand Metrics
calc_observed_pmax_omax
                        Calculate Observed Pmax/Omax Grouped by ID
calc_omax_pmax          Calculate Omax and Pmax for Demand Curves
calculate_amplitude_persistence
                        Calculate Amplitude and Persistence
cannabisCigarettes      Cannabis/cigarette cross-price responses
check_demand_model      Check Demand Model Diagnostics
check_systematic_cp     Check Cross-Price Data for Unsystematic
                        Responding
check_systematic_demand
                        Check Demand Data for Unsystematic Responding
check_unsystematic_cp   Check for Unsystematic Patterns in Cross-Price
                        Data
coef-methods            Extract Coefficients from Cross-Price Demand
                        Models
coef.beezdemand_fixed   Extract Coefficients from Fixed-Effect Demand
                        Fit
coef.beezdemand_hurdle
                        Extract Coefficients from Hurdle Demand Model
coef.beezdemand_nlme    Extract Coefficients from a beezdemand_nlme
                        Model
compare_hurdle_models   Compare Nested Hurdle Demand Models
compare_models          Compare Demand Models
confint.beezdemand_fixed
                        Confidence Intervals for Fixed-Effect Demand
                        Model Parameters
confint.beezdemand_hurdle
                        Confidence Intervals for Hurdle Demand Model
                        Parameters
confint.beezdemand_nlme
                        Confidence Intervals for Mixed-Effects Demand
                        Model Parameters
confint.cp_model_nls    Confidence Intervals for Cross-Price NLS Model
                        Parameters
cp                      Example cross‐price dataset
cp_posthoc_intercepts   Run pairwise intercept comparisons for
                        cross-price demand model
cp_posthoc_slopes       Run pairwise slope comparisons for cross-price
                        demand model
etm                     Example Experimental Tobacco Marketplace data
extract_coefficients    Extract All Coefficient Types from Cross-Price
                        Demand Models
fit_cp_linear           Fit a Linear Cross-Price Demand Model
fit_cp_nls              Fit cross-price demand with NLS (+ robust
                        fallbacks)
fit_demand_fixed        Fit Fixed-Effect Demand Curves
fit_demand_hurdle       Fit Two-Part Mixed Effects Hurdle Demand Model
fit_demand_mixed        Fit Nonlinear Mixed-Effects Demand Model
fixed-demand            Fixed-Effect Demand Curve Fitting
fixef.beezdemand_nlme   Extract Fixed Effects from a beezdemand_nlme
                        Model
fixef.cp_model_lmer     Extract Fixed Effects from Mixed-Effects
                        Cross-Price Model
get_demand_comparisons
                        Get Pairwise Comparisons for Demand Parameters
get_demand_param_emms   Get Estimated Marginal Means for Demand
                        Parameters
get_demand_param_trends
                        Get Trends (Slopes) of Demand Parameters with
                        respect to Continuous Covariates
get_descriptive_summary
                        Calculate Descriptive Statistics by Price
get_empirical_measures
                        Calculate Empirical Demand Measures
get_hurdle_param_summary
                        Get Hurdle Model Parameter Summary
get_individual_coefficients
                        Calculate Individual-Level Predicted
                        Coefficients from beezdemand_nlme Model
get_k                   Calculate K Scaling Parameter for Demand Curve
                        Fitting
get_observed_demand_param_emms
                        Get Estimated Marginal Means for Observed
                        Factor Combinations
get_subject_pars        Get Subject-Specific Parameters
glance.beezdemand_fixed
                        Glance Method for beezdemand_fixed
glance.beezdemand_hurdle
                        Glance at a beezdemand_hurdle Model
glance.beezdemand_nlme
                        Glance method for beezdemand_nlme
glance.beezdemand_systematicity
                        Glance Method for beezdemand_systematicity
glance.cp_model_lm      Get model summaries from a linear cross-price
                        model
glance.cp_model_lmer    Get model summaries from a mixed-effects
                        cross-price model
glance.cp_model_nls     Get model summaries from a cross-price model
ko                      Example nonhuman demand data with drug and dose
lambertW                Lambert W
ll4                     Log-Logistic Transformation (LL4-like)
ll4_inv                 Inverse Log-Logistic Transformation (Inverse
                        LL4-like)
logLik.beezdemand_hurdle
                        Extract Log-Likelihood from Hurdle Demand Model
lowNicClean             Low-nicotine cigarette purchase task
ongoingETM              Experimental Tobacco Marketplace (ETM) data
palette_beezdemand      beezdemand Color Palette
pivot_demand_data       Reshape Demand Data Between Wide and Long
                        Formats
plot-theme              beezdemand Plot Theme and Color Palette
plot.beezdemand_fixed   Plot Method for beezdemand_fixed
plot.beezdemand_hurdle
                        Plot Demand Curves from Hurdle Demand Model
plot.beezdemand_nlme    Plot Method for beezdemand_nlme Objects
plot.cp_model_lm        Plot Method for Linear Cross-Price Demand
                        Models
plot.cp_model_lmer      Plot Method for Mixed-Effects Cross-Price
                        Demand Models
plot.cp_model_nls       Plot a Cross-Price Demand Model (Nonlinear)
plot_qq                 Plot Random Effects Q-Q
plot_residuals          Plot Residual Diagnostics
plot_subject            Plot Demand Curve for a Single Subject
predict.beezdemand_fixed
                        Predict Method for beezdemand_fixed
predict.beezdemand_hurdle
                        Predict Method for Hurdle Demand Models
predict.beezdemand_nlme
                        Predict Method for beezdemand_nlme Objects
predict.cp_model_lm     Predict method for cp_model_lm objects.
predict.cp_model_lmer   Predict from a Mixed-Effects Cross-Price Demand
                        Model
predict.cp_model_nls    Predict from a Cross-Price Demand Model
                        (Nonlinear)
print.anova.beezdemand_hurdle
                        Print Method for ANOVA Comparisons
print.beezdemand_comparison
                        Print method for beezdemand_comparison objects
print.beezdemand_diagnostics
                        Print Method for Model Diagnostics
print.beezdemand_fixed
                        Print Method for beezdemand_fixed
print.beezdemand_hurdle
                        Print Method for Hurdle Demand Model
print.beezdemand_model_comparison
                        Print Method for Model Comparison
print.beezdemand_nlme   Print Method for beezdemand_nlme Objects
print.beezdemand_summary
                        Print Method for beezdemand Summary Objects
print.beezdemand_systematicity
                        Print Method for beezdemand_systematicity
print.cp_posthoc        Print method for cp_posthoc objects
print.summary.beezdemand_fixed
                        Print Method for summary.beezdemand_fixed
print.summary.beezdemand_hurdle
                        Print Summary of Hurdle Demand Model
print.summary.beezdemand_nlme
                        Print method for summary.beezdemand_nlme
print.summary.beezdemand_systematicity
                        Print Method for
                        summary.beezdemand_systematicity
print.summary.cp_model_lm
                        Print method for summary.cp_model_lm objects.
print.summary.cp_model_lmer
                        Print method for summary.cp_model_lmer objects.
print.summary.cp_model_nls
                        Print method for summary.cp_model_nls objects
print.summary.cp_unsystematic
                        Print Method for Cross-Price Unsystematic
                        Summary
print_mc_summary        Print Monte Carlo Simulation Results
pseudo_ll4_trans        Create a Pseudo-Log LL4 Transformation Object
                        for ggplot2
ranef.beezdemand_nlme   Extract Random Effects from a beezdemand_nlme
                        Model
ranef.cp_model_lmer     Extract Random Effects from Mixed-Effects
                        Cross-Price Model
run_hurdle_monte_carlo
                        Run Monte Carlo Simulation Study for Hurdle
                        Demand Model
scale_color_beezdemand
                        beezdemand Color Scale (Discrete)
scale_fill_beezdemand   beezdemand Fill Scale (Discrete)
scale_ll4               Create an LL4-like Scale for ggplot2 Axes
simulate_hurdle_data    Simulate Data from Two-Part Mixed Effects
                        Hurdle Demand Model
summary.beezdemand_fixed
                        Summary Method for beezdemand_fixed
summary.beezdemand_hurdle
                        Summarize a Hurdle Demand Model Fit
summary.beezdemand_nlme
                        Summary method for beezdemand_nlme
summary.beezdemand_systematicity
                        Summary Method for beezdemand_systematicity
summary.cp_model_lm     Summary method for cp_model_lm objects.
summary.cp_model_lmer   Summary method for cp_model_lmer objects.
summary.cp_model_nls    Summarize a Cross-Price Demand Model
                        (Nonlinear)
summary.cp_unsystematic
                        Summarize Cross-Price Unsystematic Data Check
                        Results
systematic-wrappers     Systematicity Check Wrappers
theme_apa               APA Theme
theme_beezdemand        beezdemand Plot Theme
tidy.beezdemand_fixed   Tidy Method for beezdemand_fixed
tidy.beezdemand_hurdle
                        Tidy a beezdemand_hurdle Model
tidy.beezdemand_nlme    Tidy method for beezdemand_nlme
tidy.beezdemand_systematicity
                        Tidy Method for beezdemand_systematicity
tidy.cp_model_lm        Extract coefficients from a linear cross-price
                        model in tidy format
tidy.cp_model_lmer      Extract coefficients from a mixed-effects
                        cross-price model in tidy format
tidy.cp_model_nls       Convert a cross-price model to a tidy data
                        frame of coefficients
