MultiCellWinner | R Documentation |
MultiCellWinner
explores the likelihood of observe a winning cell for a
given Multi-Cell Market Selection. This method analyzes all pairwise comparisons to
determine how much larger the incremental ROAS (iROAS) must be for a cell to be
declared the winner based on a statistical significance test.
MultiCellWinner(
multicell_power_obj,
effect_size = NULL,
geolift_type = "standard",
ROAS = seq(0, 5, 0.05),
alpha = 0.1,
method = "conformal",
stat_test = "Total"
)
## S3 method for class 'MultiCellWinner'
print(x, ...)
multicell_power_obj |
A |
effect_size |
A numeric value representing the lift to be simulated across all cells. If not specified (default), the algorithm will use the largest lift needed to obtain a well-powered test across all cells. |
geolift_type |
String that specifies the type of GeoLift test to be performed:
|
ROAS |
Vector of incremental Return on Ad Spend (iROAS) values to assess. Set to
|
alpha |
Significance Level. By default 0.1. |
method |
A string indicating the method used to calculate the aggregate ATT Confidence Intervals.
|
stat_test |
A string indicating the test statistic.
|
x |
|
... |
Optional arguments |
A list with two objects:
"results": Data frame with all pairwise comparisons and required iROAS needed to declare a winner for the multi-cell test.
"simulations": The complete data frame of all simulations for all pairwise comparisons.
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