package owl-base

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Module Owl_base_stats

Statistics: random number generators, PDF and CDF functions, and hypothesis tests. The module also includes some basic statistical functions such as mean, variance, skew, and etc.

Randomisation functions
val shuffle : 'a array -> 'a array

Refer to :doc:`owl_stats`.

val choose : 'a array -> int -> 'a array

Refer to :doc:`owl_stats`.

val sample : 'a array -> int -> 'a array

Refer to :doc:`owl_stats`.

Basic statistical functions
val sum : float array -> float

Refer to :doc:`owl_stats`.

val mean : float array -> float

Refer to :doc:`owl_stats`.

val var : ?mean:float -> float array -> float

Refer to :doc:`owl_stats`.

val std : ?mean:float -> float array -> float

Refer to :doc:`owl_stats`.

val sem : ?mean:float -> float array -> float

Refer to :doc:`owl_stats`.

val absdev : ?mean:float -> float array -> float

Refer to :doc:`owl_stats`.

val skew : ?mean:float -> ?sd:float -> float array -> float

Refer to :doc:`owl_stats`.

val kurtosis : ?mean:float -> ?sd:float -> float array -> float

Refer to :doc:`owl_stats`.

val central_moment : int -> float array -> float

Refer to :doc:`owl_stats`.

val cov : ?m0:float -> ?m1:float -> float array -> float array -> float

Refer to :doc:`owl_stats`.

val concordant : 'a array -> 'b array -> int

Refer to :doc:`owl_stats`.

val discordant : 'a array -> 'b array -> int

Refer to :doc:`owl_stats`.

val kendall_tau : float array -> float array -> float

Refer to :doc:`owl_stats`.

val min : float array -> float

Refer to :doc:`owl_stats`.

val max : float array -> float

Refer to :doc:`owl_stats`.

val minmax : float array -> float * float

Refer to :doc:`owl_stats`.

val min_i : float array -> int

Refer to :doc:`owl_stats`.

val max_i : float array -> int

Refer to :doc:`owl_stats`.

val minmax_i : float array -> int * int

Refer to :doc:`owl_stats`.

val sort : ?inc:bool -> float array -> float array

Refer to :doc:`owl_stats`.

val argsort : ?inc:bool -> float array -> int array

Refer to :doc:`owl_stats`.

val rank : ?ties_strategy:[ `Average | `Min | `Max ] -> float array -> float array

Refer to :doc:`owl_stats`.

type histogram = {
  1. bins : float array;
  2. counts : int array;
  3. weighted_counts : float array option;
  4. normalised_counts : float array option;
  5. density : float array option;
}

Refer to :doc:`owl_stats`.

val histogram : [ `Bins of float array | `N of int ] -> ?weights:float array -> float array -> histogram

Refer to :doc:`owl_stats`.

val histogram_sorted : [ `Bins of float array | `N of int ] -> ?weights:float array -> float array -> histogram

Refer to :doc:`owl_stats`.

val normalise : histogram -> histogram

Refer to :doc:`owl_stats`.

val normalise_density : histogram -> histogram

Refer to :doc:`owl_stats`.

val pp_hist : Format.formatter -> histogram -> unit

Refer to :doc:`owl_stats`.

Random variables
val uniform_rvs : a:float -> b:float -> float

Refer to :doc:`owl_stats`.

val bernoulli_rvs : p:float -> float

Refer to :doc:`owl_stats`.

val gaussian_rvs : mu:float -> sigma:float -> float

Refer to :doc:`owl_stats`.

val exponential_rvs : lambda:float -> float

Refer to :doc:`owl_stats`.

val cauchy_rvs : loc:float -> scale:float -> float

Refer to :doc:`owl_stats`.

val std_gamma_rvs : shape:float -> float

Refer to :doc:`owl_stats`.

val gamma_rvs : shape:float -> scale:float -> float

Refer to :doc:`owl_stats`.

val gumbel1_rvs : a:float -> b:float -> float

Refer to :doc:`owl_stats`.

val gumbel2_rvs : a:float -> b:float -> float

Refer to :doc:`owl_stats`.