Package index • mrmopt

All functions

fit_response(): Fit a response curve model using brms
hlpr_default_prior_for_scaled_data(): Helper function to set default priors for scaled data
hlpr_define_response_form(): Define a response form for a nonlinear model
hlpr_get_weekly_spend(): Get Weekly Spend helper function
hlpr_replace_variables_in_formula(): Replace Variables in a Formula
hlpr_scale_data(): Helper function to scale the data for model prep
hlpr_set_objective_function(): Create an objective function for optimization
hlpr_set_total_constraint(): Set a total constraint function
mrm_infer(): Infer response from a fitted model
mrm_params(): Extract parameters from a fitted model
mrm_params_table(): Create a formatted table of model parameters
mrm_plot_costper(): Plot the cost per KPI of a fitted model
mrm_plot_response(): Plot the response of a fitted model
mrm_plot_return(): Plot Marginal and Absolute Rates of Return for Multiple Resource Models
mrm_response_function(): Get the response function from a fitted model
mrm_returns_ranges(): Get Ranges of Maximum Marginal Returns and Average Returns This function computes the ranges of x values corresponding to the maximum marginal returns (MR) and average returns (AR) for a list of marginal response models (MRMs).
opt_generate_constraints(): Generate constraints for optimization based on MRM return rates or total spend This function generates constraints for optimization based on the return rates from the MRM models or a total spend constraint. The constraints include lower bounds, upper bounds, and initial values for each channel.
opt_mix(): Optimal Mix Function This function computes the optimal mix of channels to maximize the total response given a set of response functions and constraints.
plot_optimal_mix(): Plot Optimal Mix
response(): Response Curve Function
response_models_comparison(): Compare Response Curve Models
rm_Gompertz(): Gompertz Response Model
rm_GompertzRef(): Reflected Gompertz Response Model
rm_LogLogistic(): Log-logistic response model
rm_Logistic(): Logistic Response Model
rm_Weibull(): Weibull Response Model
rm_WeibullRef(): Reflected Weibull Response Model
rm_dispatch(): Dispatch Response Model