finetune: A function for finetuning the effects of media carry-over
In benetheking/maRketingscience: functions for an integrated linear MMM workflow
finetune R Documentation
A function for finetuning the effects of media carry-over
Description
This function allows you a quick printout of all relevant effects for a media group
Usage
finetune(model = model1, var_name, data = full_data)
Arguments
model
Input model. Defaults to model1.
var_name
Part of the variable name, such as TV_GRP. Can be used like a wildcard.
data
The dataset to search for variables. Defaults to full_data.
Examples
finetune(my_model, "radio_spend", my_data) ## will search for all variables that contain the string "radio_spend"
pp()
benetheking/maRketingscience documentation built on May 17, 2022, 5:57 a.m.
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| finetune | R Documentation |
A function for finetuning the effects of media carry-over
Description
This function allows you a quick printout of all relevant effects for a media group
Usage
finetune(model = model1, var_name, data = full_data)
Arguments
model |
Input model. Defaults to model1. |
var_name |
Part of the variable name, such as TV_GRP. Can be used like a wildcard. |
data |
The dataset to search for variables. Defaults to full_data. |
Examples
finetune(my_model, "radio_spend", my_data) ## will search for all variables that contain the string "radio_spend" pp()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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