View source: R/macro_helpers_aggregation.R
Generates relevance adjusted aggregations given a data set with relevance adjusted log scores. This is just a switcher function that sends the data on either to the propto or the "select best" (which is kind of not in use atm) function.
1 | gen_RAA(RAL_data, agg_meth, sim_measure)
|
RAL_data |
Data set containing relevance adjusted logscores. |
agg_meth |
Which method should be used to aggregate the agents based on their relevance-adjusted logscores. Currently available are propto (which uses a softmax transformation) and select_best which picks the model with the best RAL at each time point. |
sim_measure |
Which method was used to calculate the weights (caliper or mahala(nobis)). |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.