nk 1.0.0
C++ Numerical Computing Runtime
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poisson.hpp
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1
3// toolboxes/stats/include/nk/stats/distributions/poisson.hpp
4//
5// Poisson distribution.
6
7#pragma once
8
9#include <memory_resource>
10#include <nk/value/value.hpp>
11
12#include <tuple>
13
14namespace nk {
15
18 namespace ops { class RngContext; } }
19
20namespace nk::stats {
21
32Value poisspdf(const Value &k, double lambda,
33 std::pmr::memory_resource *mr = nullptr);
34
47Value poisscdf(const Value &k, double lambda,
48 std::pmr::memory_resource *mr = nullptr);
49
59Value poissinv(const Value &p, double lambda,
60 std::pmr::memory_resource *mr = nullptr);
61
72Value poissrnd(::nk::ops::RngContext &rng, double lambda, size_t rows = 1, size_t cols = 1,
73 std::pmr::memory_resource *mr = nullptr);
74
82std::tuple<double, double> poisstat(double lambda);
83
84
86} // namespace nk::stats
nk::Value
Core MATLAB-compatible multidimensional array and scalar value type.
Definition value.hpp:61
nk::stats::poisscdf
Value poisscdf(const Value &k, double lambda, std::pmr::memory_resource *mr=nullptr)
Poisson cumulative distribution (F = poisscdf(k, lambda)).
nk::stats::poisstat
std::tuple< double, double > poisstat(double lambda)
Poisson mean and variance ([m, v] = poisstat(lambda)).
nk::stats::poissinv
Value poissinv(const Value &p, double lambda, std::pmr::memory_resource *mr=nullptr)
Poisson inverse cdf (k = poissinv(p, lambda)).
nk::stats::poissrnd
Value poissrnd(::nk::ops::RngContext &rng, double lambda, size_t rows=1, size_t cols=1, std::pmr::memory_resource *mr=nullptr)
Poisson random samples (r = poissrnd(lambda, rows, cols)).
nk::stats::poisspdf
Value poisspdf(const Value &k, double lambda, std::pmr::memory_resource *mr=nullptr)
Poisson pmf (y = poisspdf(k, lambda)).