anova.masked_parameter_map(self, effect=0, pmin=0.05, **sub)

Create a copy of the parameter map masked by significance

effect : int | str

Index or name of the effect from which to use the parameter map.

pmin : scalar

Threshold p-value for masking (default 0.05). For threshold-based cluster tests, pmin=1 includes all clusters regardless of their p-value.

masked_map : NDVar

NDVar with data from the original parameter map wherever p <= pmin and 0 everywhere else.