This function tests for statistical significance of all CLAN difference parameters that were specified in the function setup_diff(). It reports all CLAN variables along which there are significant difference parameters, which corresponds to evidence for treatment effect heterogeneity along this variable, at the specified significance level.
heterogeneity_CLAN(x, learner = "best", significance_level = 0.05)A character string of the learner whose CLAN generic target estimates are of interest. Default is "best" for the best learner for CLAN.
Level for the significance tests. Default is 0.05.
An object of class "heterogeneity_CLAN", consisting of the following components:
p_valuesA matrix of p values of all CLAN difference parameters for all CLAN variables.
significantThe names of variables with at least one significant CLAN difference parameter ("variables"), their number "num_variables", and the total number of significant CLAN difference parameters "num_params". All significance tests were performed at level significance_level.
min_pvalInformation on the smallest p value: Its value ("value"), the variable in which it was estimated ("variable"), the CLAN difference parameter it belongs to ("parameter"), and whether or not it is significant at level significance_level ("significant").
"learner"Name of the learner whose median estimates we used for the listed results.
"significance_level"The level of the significance tests.