package prbnmcn-dagger-stats

You can search for identifiers within the package.

in-package search v0.2.0

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type state = Random.State.t

type !'a t = state -> 'a

type !'a res = state -> 'a

val return : 'a -> 'a t

val bind : 'a t -> ('a -> 'b t) -> 'b t

val map : 'a t -> ('a -> 'b) -> 'b t

val run : 'a t -> 'a res

module Infix : sig ... end

val iid : 'a t -> 'a Seq.t t

val float : float -> float t

val int : int -> int t

val bool : bool t

val shuffle : 'a array -> 'a array t

val uniform : 'a array -> 'a t

val bernoulli : float -> bool t

val geometric : float -> int t

val subsample : n:int -> 'a t -> 'a t

val of_empirical : 'a array -> 'a t

val exponential : rate:float -> float t

val box_muller : mean:float -> std:float -> (float * float) t

val gaussian : mean:float -> std:float -> float t

val poisson : lambda:float -> int t

val range : Stats__Stats_intf.range -> float t

val rectangle : min:float array -> max:float array -> float array t

val gamma : shape:float -> scale:float -> float t

val categorical : ('a * float) array -> 'a t

val without_replacement : int -> 'a list -> ('a list * 'a list) t

val tup2 : 'a t -> 'b t -> ('a * 'b) t

val tup3 : 'a t -> 'b t -> 'c t -> ('a * 'b * 'c) t

val tup4 : 'a t -> 'b t -> 'c t -> 'd t -> ('a * 'b * 'c * 'd) t

val tup5 : 'a t -> 'b t -> 'c t -> 'd t -> 'e t -> ('a * 'b * 'c * 'd * 'e) t

val tup6 : 
  'a t ->
  'b t ->
  'c t ->
  'd t ->
  'e t ->
  'f t ->
  ('a * 'b * 'c * 'd * 'e * 'f) t

val mixture : float array -> (int -> 'b t) -> 'b t

module Rational : sig ... end