defmodule Chi2fit.Distribution.Bernoulli do # Copyright 2019 Pieter Rijken # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. @moduledoc """ Provides the Bernoulli distribution. """ @enforce_keys [:pars] defstruct [:pars, name: "bernoulli"] @type t() :: %__MODULE__{ pars: [float], name: String.t } end defimpl Chi2fit.Distribution, for: Chi2fit.Distribution.Bernoulli do alias Chi2fit.Distribution, as: D import D.Bernoulli alias D.Bernoulli @spec bernoulli(value :: number) :: ((...) -> number) defp bernoulli(value) when is_number(value) do fn () -> u = :rand.uniform() if u <= value, do: 1, else: 0 end end def skewness(%Bernoulli{pars: [p]}), do: fn _ -> (1-2*p)/:math.sqrt(p*(1.0-p)) end def kurtosis(%Bernoulli{pars: [p]}), do: fn _ -> (1-6*p*(1.0-p))/p/(1.0-p) end def size(%Bernoulli{}), do: 1 def cdf(%Bernoulli{}), do: raise(D.FunctionNotSupportedError, message: "cdf is not supported for the Constant distribution") def pdf(%Bernoulli{}), do: raise(D.FunctionNotSupportedError, message: "pdf is not supported for the Constant distribution") def random(%Bernoulli{pars: [value]}), do: bernoulli(value).() def name(model), do: model.name end defimpl Inspect, for: Chi2fit.Distribution.Bernoulli do import Inspect.Algebra def inspect(dict, opts) do case dict.pars do nil -> "#Bernoulli<>" [p] -> concat ["#Bernoulli<", to_doc("p=#{p}", opts), ">"] list -> concat ["#Bernoulli<", to_doc(list, opts), ">"] end end end