{ "_id": "6ab1cd083d719c1f84088c40", "Package": "beezdemand", "Version": "0.3.0", "Date": "2026-08-16", "Title": "Behavioral Economic Easy Demand", "Authors@R": "c(person(\"Brent\", \"Kaplan\", email = \"bkaplan.ku@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3758-6776\")),\nperson(\"Shawn\", \"Gilroy\", email = \"shawn.gilroy@temple.edu\", role = \"ctb\"))", "Author": "Brent Kaplan [aut, cre, cph]\n(), Shawn Gilroy [ctb]", "Maintainer": "Brent Kaplan ", "Description": "Facilitates many of the analyses performed in studies of\nbehavioral economic demand. The package supports commonly-used\noptions for modeling operant demand including (1) data\nscreening proposed by Stein, Koffarnus, Snider, Quisenberry, &\nBickel (2015; ), (2) fitting models of\ndemand such as linear (Hursh, Raslear, Bauman, & Black, 1989,\n), exponential (Hursh &\nSilberberg, 2008, ) and\nmodified exponential (Koffarnus, Franck, Stein, & Bickel, 2015,\n), (3) calculating numerous measures\nrelevant to applied behavioral economists (Intensity, Pmax,\nOmax), (4) nonlinear mixed-effects demand models with\nsubject-level random effects, fit either with 'nlme' or with a\n'TMB' backend that also provides a two-part (hurdle) model for\nzero-inflated consumption, and (5) Monte Carlo power analysis\nfor condition differences in demand parameters. Also supports\nplotting and comparing data.", "License": "GPL (>= 2)", "URL": "https://brentkaplan.github.io/beezdemand/,\nhttps://github.com/brentkaplan/beezdemand", "BugReports": "https://github.com/brentkaplan/beezdemand/issues", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "SystemRequirements": "GNU make", "Config/testthat/edition": "3", "Config/testthat/parallel": "true", "Config/testthat/start-first": "fit_demand_tmb, cross-price,\nfit_demand_fixed, diagnostics, model-comparison", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://brentkaplan.r-universe.dev", "Date/Publication": "2026-09-21 19:20:21 UTC", "RemoteUrl": "https://github.com/brentkaplan/beezdemand", "RemoteRef": "develop", "RemoteSha": "5ac2438cd75659a099d7d1e2855fe49be9b2aab4", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-09-22 00:20:27 UTC", "User": "root" }, "_user": "brentkaplan", 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Data", "topics": [ "check_unsystematic_cp" ] }, { "page": "CheckCols", "title": "Check Column Names", "topics": [ "CheckCols" ] }, { "page": "CheckUnsystematic", "title": "Systematic Purchase Task Data Checker", "topics": [ "CheckUnsystematic" ] }, { "page": "coef-methods", "title": "Extract Coefficients from Cross-Price Demand Models", "topics": [ "coef-methods", "coef.cp_model_lm", "coef.cp_model_lmer", "coef.cp_model_nls" ] }, { "page": "coef.beezdemand_fixed", "title": "Extract Coefficients from Fixed-Effect Demand Fit", "topics": [ "coef.beezdemand_fixed" ] }, { "page": "coef.beezdemand_fixed_grouped", "title": "Extract Coefficients from Grouped Fixed-Effect Demand Fit", "topics": [ "coef.beezdemand_fixed_grouped" ] }, { "page": "coef.beezdemand_hurdle", "title": "Extract Coefficients from Hurdle Demand Model", "topics": [ "coef.beezdemand_hurdle" ] }, { "page": "coef.beezdemand_nlme", "title": "Extract Coefficients from a beezdemand_nlme Model", "topics": [ "coef.beezdemand_nlme" ] }, { "page": "coef.beezdemand_tmb", "title": "Extract Coefficients from TMB Model", "topics": [ "coef.beezdemand_tmb" ] }, { "page": "compare_hurdle_models", "title": "Compare Nested Hurdle Demand Models", "topics": [ "compare_hurdle_models" ] }, { "page": "compare_models", "title": "Compare Demand Models", "topics": [ "compare_models" ] }, { "page": "confint.beezdemand_fixed", "title": "Confidence Intervals for Fixed-Effect Demand Model Parameters", "topics": [ "confint.beezdemand_fixed" ] }, { "page": "confint.beezdemand_hurdle", "title": "Confidence Intervals for Hurdle Demand Model Parameters", "topics": [ "confint.beezdemand_hurdle" ] }, { "page": "confint.beezdemand_nlme", "title": "Confidence Intervals for Mixed-Effects Demand Model Parameters", "topics": [ "confint.beezdemand_nlme" ] }, { "page": "confint.beezdemand_tmb", "title": "Confidence Intervals for TMB Model Parameters", "topics": [ "confint.beezdemand_tmb" ] }, { "page": "confint.cp_model_lm", "title": "Confidence Intervals for a Cross-Price Demand Model (Linear)", "topics": [ "confint.cp_model_lm" ] }, { "page": "confint.cp_model_lmer", "title": "Confidence Intervals for a Cross-Price Demand Model (Mixed-Effects)", "topics": [ "confint.cp_model_lmer" ] }, { "page": "confint.cp_model_nls", "title": "Confidence Intervals for Cross-Price NLS Model Parameters", "topics": [ "confint.cp_model_nls" ] }, { "page": "cp", "title": "Example cross-price dataset", "topics": [ "cp" ] }, { "page": "cp_posthoc_intercepts", "title": "Run pairwise intercept comparisons for cross-price demand model", "topics": [ "cp_posthoc_intercepts" ] }, { "page": "cp_posthoc_slopes", "title": "Run pairwise slope comparisons for cross-price demand model", "topics": [ "cp_posthoc_slopes" ] }, { "page": "etm", "title": "Example Experimental Tobacco Marketplace data", "topics": [ "etm" ] }, { "page": "extract_coefficients", "title": "Extract All Coefficient Types from Cross-Price Demand Models", "topics": [ "extract_coefficients" ] }, { "page": "ExtraF", "title": "ExtraF", "topics": [ "ExtraF" ] }, { "page": "find_n_demand", "title": "Find the smallest sample size reaching a target power (demand)", "concept": [ "power-analysis" ], "topics": [ "find_n_demand" ] }, { "page": "fit_cp_linear", "title": "Fit a Linear Cross-Price Demand Model", "topics": [ "fit_cp_linear", "fit_cp_linear.default", "fit_cp_linear.mixed" ] }, { "page": "fit_cp_nls", "title": "Fit cross-price demand with NLS (with fallback optimizers)", "topics": [ "fit_cp_nls" ] }, { "page": "fit_demand_fixed", "title": "Fit Fixed-Effect Demand Curves", "concept": [ "demand-fitting" ], "topics": [ "fit_demand_fixed" ] }, { "page": "fit_demand_hurdle", "title": "Fit Two-Part Mixed Effects Hurdle Demand Model", "concept": [ "demand-fitting" ], "topics": [ "fit_demand_hurdle" ] }, { "page": "fit_demand_mixed", "title": "Fit Nonlinear Mixed-Effects Demand Model", "concept": [ "demand-fitting" ], "topics": [ "fit_demand_mixed" ] }, { "page": "fit_demand_tmb", "title": "Fit Mixed-Effects Demand Models via TMB", "concept": [ "demand-fitting" ], "topics": [ "fit_demand_tmb" ] }, { "page": "FitCurves", "title": "FitCurves", "topics": [ "FitCurves" ] }, { "page": "FitMeanCurves", "title": "Fit Pooled/Mean Curves", "topics": [ "FitMeanCurves" ] }, { "page": "fitted.beezdemand_hurdle", "title": "Fitted values for a beezdemand_hurdle fit", "topics": [ "fitted.beezdemand_hurdle" ] }, { "page": "fitted.beezdemand_tmb", "title": "Fitted values for a beezdemand_tmb fit", "topics": [ "fitted.beezdemand_tmb" ] }, { "page": "fixed-demand", "title": "Fixed-Effect Demand Curve Fitting", "topics": [ "fixed-demand" ] }, { "page": "fixef.beezdemand_nlme", "title": "Extract Fixed Effects from a beezdemand_nlme Model", "topics": [ "fixef.beezdemand_nlme" ] }, { "page": "fixef.beezdemand_tmb", "title": "Extract Fixed Effects from TMB Model", "topics": [ "fixef.beezdemand_tmb" ] }, { "page": "fixef.cp_model_lmer", "title": "Extract Fixed Effects from Mixed-Effects Cross-Price Model", "topics": [ "fixef.cp_model_lmer" ] }, { "page": "formula.beezdemand_hurdle", "title": "Formula for a beezdemand_hurdle fit", "topics": [ "formula.beezdemand_hurdle" ] }, { "page": "formula.beezdemand_tmb", "title": "Formula for a beezdemand_tmb fit", "topics": [ "formula.beezdemand_tmb" ] }, { "page": "get_demand_comparisons", "title": "Get Pairwise Comparisons for Demand Parameters", "topics": [ "get_demand_comparisons", "get_demand_comparisons.beezdemand_nlme", "get_demand_comparisons.default" ] }, { "page": "get_demand_comparisons.beezdemand_tmb", "title": "Get Demand Parameter Comparisons for TMB Model", "topics": [ "get_demand_comparisons.beezdemand_tmb" ] }, { "page": "get_demand_param_emms", "title": "Get Estimated Marginal Means for Demand Parameters", "topics": [ "get_demand_param_emms", "get_demand_param_emms.beezdemand_nlme", "get_demand_param_emms.default" ] }, { "page": "get_demand_param_emms.beezdemand_tmb", "title": "Get Demand Parameter Estimated Marginal Means for TMB Model", "topics": [ "get_demand_param_emms.beezdemand_tmb" ] }, { "page": "get_demand_param_trends", "title": "Get Trends (Slopes) of Demand Parameters with respect to Continuous Covariates", "topics": [ "get_demand_param_trends" ] }, { "page": "get_descriptive_summary", "title": "Calculate Descriptive Statistics by Price", "topics": [ "get_descriptive_summary" ] }, { "page": "get_empirical_measures", "title": "Calculate Empirical Demand Measures", "topics": [ "get_empirical_measures" ] }, { "page": "get_hurdle_param_summary", "title": "Get Hurdle Model Parameter Summary", "topics": [ "get_hurdle_param_summary" ] }, { "page": "get_individual_coefficients", "title": "Calculate Individual-Level Predicted Coefficients from beezdemand_nlme Model", "topics": [ "get_individual_coefficients" ] }, { "page": "get_k", "title": "Calculate K Scaling Parameter for Demand Curve Fitting", "topics": [ "get_k" ] }, { "page": "get_observed_demand_param_emms", "title": "Get Estimated Marginal Means for Observed Factor Combinations", "topics": [ "get_observed_demand_param_emms" ] }, { "page": "get_subject_pars", "title": "Get Subject-Specific Parameters", "topics": [ "get_subject_pars" ] }, { "page": "get_subject_pars.beezdemand_nlme", "title": "Get Subject-Specific Parameters from an NLME Demand Model", "topics": [ "get_subject_pars.beezdemand_nlme" ] }, { "page": "get_subject_pars.beezdemand_tmb", "title": "Get Subject-Specific Parameters from TMB Model", "topics": [ "get_subject_pars.beezdemand_tmb" ] }, { "page": "GetAnalyticPmax", "title": "Get pmax", "topics": [ "GetAnalyticPmax" ] }, { "page": "GetAnalyticPmaxFallback", "title": "Analytic Pmax Fallback", "topics": [ "GetAnalyticPmaxFallback" ] }, { "page": "GetDescriptives", "title": "Get Purchase Task Descriptive Summary", "topics": [ "GetDescriptives" ] }, { "page": "GetEmpirical", "title": "GetEmpirical", "topics": [ "GetEmpirical" ] }, { "page": "GetK", "title": "Get K", "topics": [ "GetK" ] }, { "page": "GetSharedK", "title": "Get Shared K", "topics": [ "GetSharedK" ] }, { "page": "GetValsForSim", "title": "Get Values for SimulateDemand", "topics": [ "GetValsForSim" ] }, { "page": "glance.beezdemand_fixed", "title": "Glance Method for beezdemand_fixed", "topics": [ "glance.beezdemand_fixed" ] }, { "page": "glance.beezdemand_fixed_grouped", "title": "Glance Method for beezdemand_fixed_grouped", "topics": [ "glance.beezdemand_fixed_grouped" ] }, { "page": "glance.beezdemand_hurdle", "title": "Glance at a beezdemand_hurdle Model", "topics": [ "glance.beezdemand_hurdle" ] }, { "page": "glance.beezdemand_nlme", "title": "Glance method for beezdemand_nlme", "topics": [ "glance.beezdemand_nlme" ] }, { "page": "glance.beezdemand_systematicity", "title": "Glance Method for beezdemand_systematicity", "topics": [ "glance.beezdemand_systematicity" ] }, { "page": "glance.beezdemand_tmb", "title": "Glance at a beezdemand_tmb Model", "topics": [ "glance.beezdemand_tmb" ] }, { "page": "glance.cp_model_lm", "title": "Get model summaries from a linear cross-price model", "topics": [ "glance.cp_model_lm" ] }, { "page": "glance.cp_model_lmer", "title": "Get model summaries from a mixed-effects cross-price model", "topics": [ "glance.cp_model_lmer" ] }, { "page": "glance.cp_model_nls", "title": "Get model summaries from a cross-price model", "topics": [ "glance.cp_model_nls" ] }, { "page": "ko", "title": "Example nonhuman demand data with drug and dose", "topics": [ "ko" ] }, { "page": "lambertW", "title": "Lambert W", "topics": [ "lambertW" ] }, { "page": "ll4", "title": "Log-Logistic Transformation (LL4-like)", "topics": [ "ll4" ] }, { "page": "ll4_inv", "title": "Inverse Log-Logistic Transformation (Inverse LL4-like)", "topics": [ "ll4_inv" ] }, { "page": "logLik.beezdemand_hurdle", "title": "Extract Log-Likelihood from Hurdle Demand Model", "topics": [ "logLik.beezdemand_hurdle" ] }, { "page": "lowNicClean", "title": "Low-nicotine cigarette purchase task", "topics": [ "lowNicClean" ] }, { "page": "model.matrix.beezdemand_hurdle", "title": "Design matrices for a beezdemand_hurdle fit", "topics": [ "model.matrix.beezdemand_hurdle" ] }, { "page": "model.matrix.beezdemand_tmb", "title": "Design matrices for a beezdemand_tmb fit", "topics": [ "model.matrix.beezdemand_tmb" ] }, { "page": "nobs.beezdemand_hurdle", "title": "Sample size for a beezdemand_hurdle fit", "topics": [ "nobs.beezdemand_hurdle" ] }, { "page": "nobs.cp_model_lm", "title": "Number of Observations in a Cross-Price Demand Model (Linear)", "topics": [ "nobs.cp_model_lm" ] }, { "page": "nobs.cp_model_lmer", "title": "Number of Observations in a Cross-Price Demand Model (Mixed-Effects)", "topics": [ "nobs.cp_model_lmer" ] }, { "page": "nobs.cp_model_nls", "title": "Number of Observations in a Cross-Price Demand Model (Nonlinear)", "topics": [ "nobs.cp_model_nls" ] }, { "page": "ongoingETM", "title": "Experimental Tobacco Marketplace (ETM) data", "topics": [ "ongoingETM" ] }, { "page": "palette_beezdemand", "title": "beezdemand Color Palette", "topics": [ "palette_beezdemand" ] }, { "page": "pivot_demand_data", "title": "Reshape Demand Data Between Wide and Long Formats", "topics": [ "pivot_demand_data" ] }, { "page": "plot_alpha_distribution", "title": "Plot Distribution of Subject-Level Alpha Estimates", "topics": [ "plot_alpha_distribution", "plot_alpha_distribution.beezdemand_hurdle", "plot_alpha_distribution.beezdemand_tmb" ] }, { "page": "plot_demand_overlay", "title": "Overlay Demand Curves from Multiple Models", "topics": [ "plot_demand_overlay" ] }, { "page": "plot_elasticity", "title": "Plot Own-Price Elasticity Curve", "topics": [ "plot_elasticity", "plot_elasticity.beezdemand_hurdle", "plot_elasticity.beezdemand_tmb" ] }, { "page": "plot_expenditure", "title": "Plot Expenditure Curves", "topics": [ "plot_expenditure", "plot_expenditure.beezdemand_hurdle", "plot_expenditure.beezdemand_tmb" ] }, { "page": "plot_loss_profile", "title": "Plot Loss Profile for a Single Parameter", "topics": [ "plot_loss_profile", "plot_loss_profile.beezdemand_hurdle", "plot_loss_profile.beezdemand_nlme", "plot_loss_profile.beezdemand_tmb" ] }, { "page": "plot_loss_surface", "title": "Plot Loss Surface for Demand Model Parameters", "topics": [ "plot_loss_surface", "plot_loss_surface.beezdemand_hurdle", "plot_loss_surface.beezdemand_nlme", "plot_loss_surface.beezdemand_tmb" ] }, { "page": "plot_model_comparison", "title": "Compare Parameter Estimates Across Models", "topics": [ "plot_model_comparison" ] }, { "page": "plot_qq", "title": "Plot Random Effects Q-Q", "topics": [ "plot_qq", "plot_qq.beezdemand_hurdle", "plot_qq.beezdemand_nlme", "plot_qq.beezdemand_tmb" ] }, { "page": "plot_re_diagnostics", "title": "Diagnostic Plots for Random Effects", "topics": [ "plot_re_diagnostics", "plot_re_diagnostics.beezdemand_hurdle", "plot_re_diagnostics.beezdemand_tmb" ] }, { "page": "plot_residuals", "title": "Plot Residual Diagnostics", "topics": [ "plot_residuals" ] }, { "page": "plot_subject", "title": "Plot Demand Curve for a Single Subject", "topics": [ "plot_subject" ] }, { "page": "plot-theme", "title": "beezdemand Plot Theme and Color Palette", "topics": [ "plot-theme" ] }, { "page": "plot.beezdemand_fixed", "title": "Plot Method for beezdemand_fixed", "topics": [ "plot.beezdemand_fixed" ] }, { "page": "plot.beezdemand_fixed_grouped", "title": "Plot Method for beezdemand_fixed_grouped", "topics": [ "plot.beezdemand_fixed_grouped" ] }, { "page": "plot.beezdemand_hurdle", "title": "Plot Demand Curves from Hurdle Demand Model", "topics": [ "plot.beezdemand_hurdle" ] }, { "page": "plot.beezdemand_nlme", "title": "Plot Method for beezdemand_nlme Objects", "topics": [ "plot.beezdemand_nlme" ] }, { "page": "plot.beezdemand_tmb", "title": "Plot TMB Mixed-Effects Demand Model", "topics": [ "plot.beezdemand_tmb" ] }, { "page": "plot.cp_model_lm", "title": "Plot Method for Linear Cross-Price Demand Models", "topics": [ "plot.cp_model_lm" ] }, { "page": "plot.cp_model_lmer", "title": "Plot Method for Mixed-Effects Cross-Price Demand Models", "topics": [ "plot.cp_model_lmer" ] }, { "page": "plot.cp_model_nls", "title": "Plot a Cross-Price Demand Model (Nonlinear)", "topics": [ "plot.cp_model_nls" ] }, { "page": "PlotCurve", "title": "Plot Curve", "topics": [ "PlotCurve" ] }, { "page": "PlotCurves", "title": "Plot Curves", "topics": [ "PlotCurves" ] }, { "page": "power_demand", "title": "Monte Carlo power analysis for two-condition demand designs", "concept": [ "power-analysis" ], "topics": [ "power_demand" ] }, { "page": "predict.beezdemand_fixed", "title": "Predict Method for beezdemand_fixed", "topics": [ "predict.beezdemand_fixed" ] }, { "page": "predict.beezdemand_hurdle", "title": "Predict Method for Hurdle Demand Models", "topics": [ "predict.beezdemand_hurdle" ] }, { "page": "predict.beezdemand_nlme", "title": "Predict Method for beezdemand_nlme Objects", "topics": [ "predict.beezdemand_nlme" ] }, { "page": "predict.beezdemand_tmb", "title": "Predict from TMB Mixed-Effects Demand Model", "topics": [ "predict.beezdemand_tmb" ] }, { "page": "predict.cp_model_lm", "title": "Predict method for cp_model_lm objects.", "topics": [ "predict.cp_model_lm" ] }, { "page": "predict.cp_model_lmer", "title": "Predict from a Mixed-Effects Cross-Price Demand Model", "topics": [ "predict.cp_model_lmer" ] }, { "page": "predict.cp_model_nls", "title": "Predict from a Cross-Price Demand Model (Nonlinear)", "topics": [ "predict.cp_model_nls" ] }, { "page": "print_mc_summary", "title": "Print Monte Carlo Simulation Results", "topics": [ "print_mc_summary" ] }, { "page": "print.anova.beezdemand_hurdle", "title": "Print Method for ANOVA Comparisons", "topics": [ "print.anova.beezdemand_hurdle" ] }, { "page": "print.beezdemand_comparison", "title": "Print method for beezdemand_comparison objects", "topics": [ "print.beezdemand_comparison" ] }, { "page": "print.beezdemand_diagnostic_plots", "title": "Print Method for Diagnostic Plots", "topics": [ "print.beezdemand_diagnostic_plots" ] }, { "page": "print.beezdemand_diagnostics", "title": "Print Method for Model Diagnostics", "topics": [ "print.beezdemand_diagnostics" ] }, { "page": "print.beezdemand_fixed", "title": "Print Method for beezdemand_fixed", "topics": [ "print.beezdemand_fixed" ] }, { "page": "print.beezdemand_fixed_grouped", "title": "Print Method for beezdemand_fixed_grouped", "topics": [ "print.beezdemand_fixed_grouped" ] }, { "page": "print.beezdemand_hurdle", "title": "Print Method for Hurdle Demand Model", "topics": [ "print.beezdemand_hurdle" ] }, { "page": "print.beezdemand_model_comparison", "title": "Print Method for Model Comparison", "topics": [ "print.beezdemand_model_comparison" ] }, { "page": "print.beezdemand_nlme", "title": "Print Method for beezdemand_nlme Objects", "topics": [ "print.beezdemand_nlme" ] }, { "page": "print.beezdemand_summary", "title": "Print Method for beezdemand Summary Objects", "topics": [ "print.beezdemand_summary" ] }, { "page": "print.beezdemand_systematicity", "title": "Print Method for beezdemand_systematicity", "topics": [ "print.beezdemand_systematicity" ] }, { "page": "print.beezdemand_tmb", "title": "Print Method for TMB Mixed-Effects Demand Model", "topics": [ "print.beezdemand_tmb" ] }, { "page": "print.cp_model_lm", "title": "Print a Cross-Price Demand Model (Linear)", "topics": [ "print.cp_model_lm" ] }, { "page": "print.cp_model_lmer", "title": "Print a Cross-Price Demand Model (Mixed-Effects)", "topics": [ "print.cp_model_lmer" ] }, { "page": "print.cp_model_nls", "title": "Print a Cross-Price Demand Model (Nonlinear)", "topics": [ "print.cp_model_nls" ] }, { "page": "print.cp_posthoc", "title": "Print method for cp_posthoc objects", "topics": [ "print.cp_posthoc" ] }, { "page": "print.summary.beezdemand_fixed", "title": "Print Method for summary.beezdemand_fixed", "topics": [ "print.summary.beezdemand_fixed" ] }, { "page": "print.summary.beezdemand_hurdle", "title": "Print Summary of Hurdle Demand Model", "topics": [ "print.summary.beezdemand_hurdle" ] }, { "page": "print.summary.beezdemand_nlme", "title": "Print method for summary.beezdemand_nlme", "topics": [ "print.summary.beezdemand_nlme" ] }, { "page": "print.summary.beezdemand_systematicity", "title": "Print Method for summary.beezdemand_systematicity", "topics": [ "print.summary.beezdemand_systematicity" ] }, { "page": "print.summary.beezdemand_tmb", "title": "Print Method for TMB Model Summary", "topics": [ "print.summary.beezdemand_tmb" ] }, { "page": "print.summary.cp_model_lm", "title": "Print method for summary.cp_model_lm objects.", "topics": [ "print.summary.cp_model_lm" ] }, { "page": "print.summary.cp_model_lmer", "title": "Print method for summary.cp_model_lmer objects.", "topics": [ "print.summary.cp_model_lmer" ] }, { "page": "print.summary.cp_model_nls", "title": "Print method for summary.cp_model_nls objects", "topics": [ "print.summary.cp_model_nls" ] }, { "page": "print.summary.cp_unsystematic", "title": "Print Method for Cross-Price Unsystematic Summary", "topics": [ "print.summary.cp_unsystematic" ] }, { "page": "pseudo_ll4_trans", "title": "Create a Pseudo-Log LL4 Transformation Object for ggplot2", "topics": [ "pseudo_ll4_trans" ] }, { "page": "ranef.beezdemand_nlme", "title": "Extract Random Effects from a beezdemand_nlme Model", "topics": [ "ranef.beezdemand_nlme" ] }, { "page": "ranef.beezdemand_tmb", "title": "Extract Random Effects from TMB Model", "topics": [ "ranef.beezdemand_tmb" ] }, { "page": "ranef.cp_model_lmer", "title": "Extract Random Effects from Mixed-Effects Cross-Price Model", "topics": [ "ranef.cp_model_lmer" ] }, { "page": "RecodeOutliers", "title": "Recode Outliers", "topics": [ "RecodeOutliers" ] }, { "page": "ReplaceZeros", "title": "Replace Zeros", "topics": [ "ReplaceZeros" ] }, { "page": "residuals.beezdemand_hurdle", "title": "Residuals for a beezdemand_hurdle fit", "topics": [ "residuals.beezdemand_hurdle" ] }, { "page": "residuals.beezdemand_tmb", "title": "Residuals for a beezdemand_tmb fit", "topics": [ "residuals.beezdemand_tmb" ] }, { "page": "run_hurdle_monte_carlo", "title": "Run Monte Carlo Simulation Study for Hurdle Demand Model", "topics": [ "run_hurdle_monte_carlo" ] }, { "page": "scale_color_beezdemand", "title": "beezdemand Color Scale (Discrete)", "topics": [ "scale_color_beezdemand" ] }, { "page": "scale_fill_beezdemand", "title": "beezdemand Fill Scale (Discrete)", "topics": [ "scale_fill_beezdemand" ] }, { "page": "scale_ll4", "title": "Create an LL4-like Scale for ggplot2 Axes", "topics": [ "scale_ll4" ] }, { "page": "simulate_hurdle_data", "title": "Simulate Data from Two-Part Mixed Effects Hurdle Demand Model", "topics": [ "simulate_hurdle_data" ] }, { "page": "SimulateDemand", "title": "Simulate Demand Data", "topics": [ "SimulateDemand" ] }, { "page": "summary.beezdemand_fixed", "title": "Summary Method for beezdemand_fixed", "topics": [ "summary.beezdemand_fixed" ] }, { "page": "summary.beezdemand_fixed_grouped", "title": "Summary Method for beezdemand_fixed_grouped", "topics": [ "summary.beezdemand_fixed_grouped" ] }, { "page": "summary.beezdemand_hurdle", "title": "Summarize a Hurdle Demand Model Fit", "topics": [ "summary.beezdemand_hurdle" ] }, { "page": "summary.beezdemand_nlme", "title": "Summary method for beezdemand_nlme", "topics": [ "summary.beezdemand_nlme" ] }, { "page": "summary.beezdemand_systematicity", "title": "Summary Method for beezdemand_systematicity", "topics": [ "summary.beezdemand_systematicity" ] }, { "page": "summary.beezdemand_tmb", "title": "Summarize a TMB Mixed-Effects Demand Model Fit", "topics": [ "summary.beezdemand_tmb" ] }, { "page": "summary.cp_model_lm", "title": "Summary method for cp_model_lm objects.", "topics": [ "summary.cp_model_lm" ] }, { "page": "summary.cp_model_lmer", "title": "Summary method for cp_model_lmer objects.", "topics": [ "summary.cp_model_lmer" ] }, { "page": "summary.cp_model_nls", "title": "Summarize a Cross-Price Demand Model (Nonlinear)", "topics": [ "summary.cp_model_nls" ] }, { "page": "summary.cp_unsystematic", "title": "Summarize Cross-Price Unsystematic Data Check Results", "topics": [ "summary.cp_unsystematic" ] }, { "page": "systematic-wrappers", "title": "Systematicity Check Wrappers", "topics": [ "systematic-wrappers" ] }, { "page": "theme_apa", "title": "APA Theme", "topics": [ "theme_apa" ] }, { "page": "theme_beezdemand", "title": "beezdemand Plot Theme", "topics": [ "theme_beezdemand" ] }, { "page": "tidy.beezdemand_comparison", "title": "Tidy a demand-parameter comparison into a flat contrasts frame", "topics": [ "tidy.beezdemand_comparison" ] }, { "page": "tidy.beezdemand_fixed", "title": "Tidy Method for beezdemand_fixed", "topics": [ "tidy.beezdemand_fixed" ] }, { "page": "tidy.beezdemand_fixed_grouped", "title": "Tidy Method for beezdemand_fixed_grouped", "topics": [ 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