The Attribution function is used in web page analysis, where it lets companies assign weights to pages before certain events, such as buying a product.
The function calculates attributions with a choice of distribution models and has two versions, multiple-input and single-input. The multiple-input version gets many parameters from input tables. The single-input version gets all parameters from arguments. The recommended version depends on the number of parameters.
With a large number of parameters, the multiple-input version is recommended. You must create the tables of parameters, but whenever you call the function, you can use the tables instead of specifying each parameter in an argument.
If the number of parameters is so small that you prefer to specify them in arguments rather than create tables for them, you can use the single-input version.