Man pages for bkaplan4/beezdemand
Behavioral Economic Easy Demand
| annotation_logticks2 | annotation_logticks2 |
| apt | Example alcohol purchase task data |
| ChangeData | ChangeData |
| CheckCols | Check Column Names |
| CheckUnsystematic | Systematic Purchase Task Data Checker |
| check_unsystematic_cp | Check for Unsystematic Patterns in Cross-Price Data |
| coef-methods | Extract Coefficients from Cross-Price Demand Models |
| cp | Example cross‐price dataset |
| cp_posthoc_intercepts | Run pairwise intercept comparisons for cross-price demand... |
| 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 |
| ExtraF | ExtraF |
| fit_cp_linear | Fit a Linear Cross-Price Demand Model |
| fit_cp_nls | Fit Nonlinear Cross-Price Model using NLS |
| FitCurves | FitCurves |
| FitMeanCurves | Fit Pooled Curves |
| fixef.cp_model_lmer | Extract Fixed Effects from Mixed-Effects Cross-Price Model |
| 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 |
| glance.cp_model_nls | Get model summaries from a cross-price model |
| has_significant_interaction | Test for significant interaction in a cross-price demand... |
| lambertW | Lambert W |
| 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 |
| 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.cp_posthoc | Print method for cp_posthoc objects |
| 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 summary.cp_unsystematic objects |
| pull | Pull |
| ranef.cp_model_lmer | Extract Random Effects from Mixed-Effects Cross-Price Model |
| RecodeOutliers | Recode Outliers |
| reexports | Objects exported from other packages |
| ReplaceZeros | Replace Zeros |
| SimulateDemand | Simulate Demand Data |
| 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 |
| theme_apa | APA Theme |
| tidy.cp_model_nls | Convert a cross-price model to a tidy data frame of... |
| validate_cp_data | Validate and Filter Cross-Price Demand Data |
