RelativeRisk#
- class rojak.turbulence.analysis.RelativeRisk(this_feature, other_feature, sum_over_dims='time', use_log=True)[source]#
Relative risk (see
rojak.turbulence.metrics.relative_risk()) between two boolean features- Parameters:
- __init__(this_feature, other_feature, sum_over_dims='time', use_log=True)[source]#
- Parameters:
this_feature (DataArray) – First binary variable (the exposure)
other_feature (DataArray) – Second binary variable (the outcome)
sum_over_dims (str | list[str] | None) – Dimension(s) to sum over when computing the contingency table. Defaults to
"time".use_log (bool) – If
True(default), computes the natural logarithm of the relative risk.
- Return type:
None
Methods
__init__(this_feature, other_feature[, ...])execute()Compute the (log) relative risk between
self._this_featureandself._other_feature