R: Behavioral Economic Easy Demand

# Behavioral Economic Easy Demand

## Documentation for package ‘beezdemand’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A B C E F G K L O P R S T

## -- A --

AIC.beezdemand_hurdle | AIC for Hurdle Demand Model
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

## -- B --

beezdemand_descriptive_methods | S3 Methods for beezdemand_descriptive Objects
beezdemand_empirical_methods | S3 Methods for beezdemand_empirical Objects
BIC.beezdemand_hurdle | BIC for Hurdle Demand Model

## -- C --

calculate_amplitude_persistence | Calculate Amplitude and Persistence
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
cannabisCigarettes | Cannabis/cigarette cross-price responses
ChangeData | ChangeData
CheckCols | Check Column Names
CheckUnsystematic | Systematic Purchase Task Data Checker
check_demand_model | Check Demand Model Diagnostics
check_demand_model.beezdemand_fixed | Check Demand Model Diagnostics
check_demand_model.beezdemand_hurdle | Check Demand Model Diagnostics
check_demand_model.beezdemand_nlme | 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
coef.cp_model_lm | Extract Coefficients from Cross-Price Demand Models
coef.cp_model_lmer | Extract Coefficients from Cross-Price Demand Models
coef.cp_model_nls | Extract Coefficients from Cross-Price Demand Models
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

## -- E --

etm | Example Experimental Tobacco Marketplace data
extract_coefficients | Extract All Coefficient Types from Cross-Price Demand Models
ExtraF | ExtraF

## -- F --

FitCurves | FitCurves
FitMeanCurves | Fit Pooled/Mean Curves
fit_cp_linear | Fit a Linear Cross-Price Demand Model
fit_cp_linear.default | Fit a Linear Cross-Price Demand Model
fit_cp_linear.mixed | 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

## -- G --

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
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

## -- K --

ko | Example nonhuman demand data with drug and dose

## -- L --

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

## -- O --

ongoingETM | Experimental Tobacco Marketplace (ETM) data

## -- P --

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_descriptive | S3 Methods for beezdemand_descriptive Objects
plot.beezdemand_empirical | S3 Methods for beezdemand_empirical Objects
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)
PlotCurve | Plot Curve
PlotCurves | Plot Curves
plot_qq | Plot Random Effects Q-Q
plot_qq.beezdemand_hurdle | Plot Random Effects Q-Q
plot_qq.beezdemand_nlme | 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_descriptive | S3 Methods for beezdemand_descriptive Objects
print.beezdemand_diagnostics | Print Method for Model Diagnostics
print.beezdemand_empirical | S3 Methods for beezdemand_empirical Objects
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

## -- R --

ranef.beezdemand_nlme | Extract Random Effects from a beezdemand_nlme Model
ranef.cp_model_lmer | Extract Random Effects from Mixed-Effects Cross-Price Model
RecodeOutliers | Recode Outliers
ReplaceZeros | Replace Zeros
run_hurdle_monte_carlo | Run Monte Carlo Simulation Study for Hurdle Demand Model

## -- S --

scale_color_beezdemand | beezdemand Color Scale (Discrete)
scale_fill_beezdemand | beezdemand Fill Scale (Discrete)
scale_ll4 | Create an LL4-like Scale for ggplot2 Axes
SimulateDemand | Simulate Demand Data
simulate_hurdle_data | Simulate Data from Two-Part Mixed Effects Hurdle Demand Model
summary.beezdemand_descriptive | S3 Methods for beezdemand_descriptive Objects
summary.beezdemand_empirical | S3 Methods for beezdemand_empirical Objects
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

## -- T --

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