The density function of the Chi-squared distribution:
$$ f(x; k) = \dfrac{x^{k/2 - 1} \exp(-x/2)}{ 2^{k/2} \Gamma(k/2)} \times \mathbf{1}[ x > 0] $$Parameters:
dof_par
is $k$. Note: this need not be an integer.Definition:
template<typename Ta, typename Tb> statslib_constexpr return_t<Ta> dchisq(const Ta x, const Tb dof_par, const bool log_form = false);
Computes the density function.
Examples:
// parameters double dof = 14.0; // standard input double dens_val = stats::dchisq(0.5,dof); double log_dens_val = stats::dchisq(0.5,dof,true); // Armadillo input arma::mat X(10,1); X.fill(0.5); arma::mat dens_vals_mat = stats::dchisq(X,dof); arma::mat log_dens_vals_mat = stats::dchisq(X,dof,true);
Definition:
template<typename Ta, typename Tb> statslib_constexpr return_t<Ta> pchisq(const Ta x, const Tb dof_par, const bool log_form = false);
Computes the cumulative distribution function (CDF).
Examples:
// parameters double dof = 14.0; // standard input double prob_val = stats::pchisq(0.5,dof); double log_prob_val = stats::pchisq(0.5,dof,true); // Armadillo input arma::mat X(10,1); X.fill(0.5); arma::mat prob_vals_mat = stats::pchisq(X,dof); arma::mat log_prob_vals_mat = stats::pchisq(X,dof,true);
Definition:
template<typename Ta, typename Tb> statslib_constexpr Ta qchisq(const Ta p, const Tb dof_par);
Computes the quantile function.
Examples:
// parameters double dof = 14.0; // standard input double quant_val = stats::qchisq(0.7,dof); // Armadillo input arma::mat X(10,1); X.fill(0.7); arma::mat quant_vals_mat = stats::qchisq(X,dof);
Definition:
// random engine seeding template<typename T> statslib_inline return_t<T> rchisq(const T dof_par, rand_engine_t& engine); // seeding values template<typename T> statslib_inline return_t<T> rchisq(const T dof_par, uint_t seed_val = std::random_device{}()); // matrix output template<typename mT, typename eT> statslib_inline mT rchisq(const uint_t n, const uint_t k, const eT dof_par);
Generates pseudo-random draws.
Examples:
// parameters double dof = 14.0; // standard input double rand_val = stats::rchisq(dof); // Armadillo output: 10 x 1 matrix arma::mat rand_mat = stats::rchisq<arma::mat>(10,1,dof);