Packages

chi2fit

1.0.2
3.1.0 3.0.1 3.0.0 2.1.7 2.1.6 2.1.5 retired 2.1.4 retired 2.1.3 retired 2.1.2 retired 2.1.1 retired 2.1.0 retired 2.0.2 2.0.1 2.0.0 1.3.0 1.1.0 1.0.3 1.0.2 1.0.1 1.0.0 1.0.0-beta.11 1.0.0-beta.10 1.0.0-beta.9 1.0.0-beta.8 1.0.0-beta.7 1.0.0-beta.6 1.0.0-beta.5 1.0.0-beta.4 1.0.0-beta.3 1.0.0-beta.2 1.0.0-beta.1 1.0.0-beta 1.0.0-alpha 0.9.5 0.9.4 0.9.3 0.9.2 0.9.1 0.9.0 0.8.11 0.8.10 0.8.9 0.8.8 0.8.7-alpha.2 0.8.7-alpha 0.8.6 0.8.5 0.8.4 0.8.3 0.8.2 0.8.1 0.8.0 0.7.8 0.7.7 0.7.6 0.7.5 0.7.4 0.7.3 0.7.3-1 0.7.2 0.7.1 0.7.0 0.6.7 0.6.6 0.6.5 0.6.3 0.6.0 0.5.2 0.5.1 0.5.0 0.4.0 0.3.1 0.3.0 0.2.0

Provides functions for fast matrix inversion, creation of empirical CDF from sample data including handling of asymmetric errors, and fitting to a funtion using chi-squared. The fitting procedure return the full covariance matrix describing the fitted parameters.

HexDocs

Current section

Files

Jump to
Readme
74 Versions
7 Dependencies
1 Dependant
Files
Activity
chi2fit lib distributions constant.ex
Raw

lib/distributions/constant.ex 

defmodule Distribution.Constant 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 """

  Distribution for constant numbers.

  """



  @enforce_keys [:pars]

  defstruct [:pars]

  

  @type t() :: %__MODULE__{

  }

  

end



defimpl Distribution, for: Distribution.Constant do

  import Distribution.Constant

  alias Distribution.Constant



  @spec constant(number | Keyword.t) :: ((...) -> number)

  defp constant([avg: average]), do: fn -> average end

  defp constant(average) when is_number(average), do: fn -> average end

  

  def skewness(%Constant{}), do: fn _ -> 0 end

  def kurtosis(%Constant{}), do: fn _ -> 0 end

  def size(%Constant{}), do: 1

  

  def cdf(%Constant{}), do: raise Distribution.FunctionNotSupportedError, message: "cdf is not supported for the Constant distribution"

  def pdf(%Constant{}), do: raise Distribution.FunctionNotSupportedError, message: "pdf is not supported for the Constant distribution"



  @doc ~S"""

  ## Examples:

  

      iex> random %Distribution.Constant{pars: [5.0]}

      5.0

  """

  def random(%Constant{pars: [avg]}), do: constant(avg).()

  

end



defimpl Inspect, for: Distribution.Constant do

  import Inspect.Algebra

  

  def inspect(dict, opts) do

    case dict.pars do

      nil ->

        "#Constant<>"

      [value] ->

        concat ["#Constant<", to_doc("value=#{value}", opts), ">"]

      pars ->

        concat ["#Constant<", to_doc("pars=#{inspect pars}", opts), ">"]

    end

  end



end