package oml

You can search for identifiers within the package.

in-package search v0.2.0

Legend:
Library
Module
Module type
Parameter
Class
Class type

include module type of Oml_descriptive

val mean : float array -> float

val median : float array -> float

val var : ?population_mean:float -> ?biased:bool -> float array -> float

val sd : ?population_mean:float -> ?biased:bool -> float array -> float

val ad : 
  ?population:float ->
  ?center:[ `Mean | `Median ] ->
  float array ->
  float

val covariance : 
  ?population_means:(float * float) ->
  ?biased:bool ->
  float array ->
  float array ->
  float

val correlation : float array -> float array -> float

val autocorrelation : int -> float array -> float

val moment : int -> float array -> float

val skew : ?biased:bool -> float array -> float

val kurtosis : ?biased:bool -> float array -> float

val var_standard_error : float array -> float

val skew_standard_error : float array -> float

val kurtosis_standard_error : float array -> float

val var_statistic : float array -> float

val skew_statistic : float array -> float

val kurtosis_statistic : float array -> float

type skew_classification = [

]

val classify_skew : float array -> skew_classification

type kurtosis_classification = [

]

val classify_kurtosis : float array -> kurtosis_classification

type summary = {

}

val summary : ?biased:bool -> float array -> summary

val histogram : 
  [ `Buckets of int | `Specific of float array | `Width of float ] ->
  float array ->
  (float * int) array

val geometric_mean : float array -> float

val harmonic_mean : float array -> float

val spearman : float array -> float array -> float

val cosine : float array -> float array -> float