negbin.hpp File Reference

#include <memory_resource>
#include <nk/value/value.hpp>
#include <tuple>

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Functions
Value	nk::stats::nbinpdf (const Value &k, double r, double p, std::pmr::memory_resource *mr=nullptr)
	Negative binomial pmf (y = nbinpdf(k, r, p)).
Value	nk::stats::nbincdf (const Value &k, double r, double p, std::pmr::memory_resource *mr=nullptr)
	Negative binomial cdf (F = nbincdf(k, r, p)).
Value	nk::stats::nbininv (const Value &q, double r, double p, std::pmr::memory_resource *mr=nullptr)
	Negative binomial inverse cdf (k = nbininv(q, r, p)).
Value	nk::stats::nbinrnd (::nk::ops::RngContext &rng, double r, double p, size_t rows=1, size_t cols=1, std::pmr::memory_resource *mr=nullptr)
	Negative binomial random samples (r_out = nbinrnd(r, p, rows, cols)).
std::tuple< double, double >	nk::stats::nbinstat (double r, double p)
	Negative binomial mean and variance ([m, v] = nbinstat(r, p)).
Value	nk::stats::nbinfit (const Value &x, std::pmr::memory_resource *mr=nullptr)
	Negative-binomial MLE fit ([rhat, phat] = nbinfit(x)).
Value	nk::stats::nbinfit_ci (const Value &x, double alpha=0.05, std::pmr::memory_resource *mr=nullptr)
	95% Wald CI for nbinfit (pci = nbinfit_ci(x, alpha)).