package pareto

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val min : float array -> float
val max : float array -> float
val minmax : float array -> float * float
val range : float array -> float
val moments : int -> float array -> float array
val mean : float array -> float
val variance : ?mean:float -> float array -> float
val sd : ?mean:float -> float array -> float
val skewness : ?mean:float -> ?sd:float -> float array -> float
val kurtosis : ?mean:float -> ?sd:float -> float array -> float
val rank : ?ties_strategy:[ `Average | `Max | `Min ] -> ?cmp:('a -> 'a -> int) -> 'a array -> float * float array
val histogram : ?n_bins:int -> ?range:(float * float) -> ?weights:float array -> ?density:bool -> float array -> float array * float array
module Quantile : sig ... end
val quantile : ps:float array -> float array -> float array
val iqr : float array -> float
module KDE : sig ... end
module Correlation : sig ... end
module Summary : sig ... end
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