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