Expand description
Statistics: descriptive measures, probability distributions, and
Fourier utilities. Submodules are re-exported so historical paths such
as crate::statistics::mean keep working.
Re-exports§
pub use descriptive::correlation;pub use descriptive::covariance;pub use descriptive::error_propagation_product;pub use descriptive::error_propagation_sum;pub use descriptive::mean;pub use descriptive::median;pub use descriptive::sample_std_deviation;pub use descriptive::sample_variance;pub use descriptive::std_deviation;pub use descriptive::variance;pub use descriptive::weighted_mean;pub use descriptive::weighted_mean_error;pub use distributions::chi_squared_pdf;pub use distributions::exponential_cdf;pub use distributions::exponential_pdf;pub use distributions::gaussian;pub use distributions::gaussian_cdf;pub use distributions::poisson_pmf;pub use distributions::Beta;pub use distributions::Binomial;pub use distributions::ChiSquared;pub use distributions::Distribution;pub use distributions::Exponential;pub use distributions::FDist;pub use distributions::Gamma;pub use distributions::LogNormal;pub use distributions::Normal;pub use distributions::Poisson;pub use distributions::StudentT;pub use distributions::Weibull;pub use distributions::gaussian_cdf_approx;Deprecated pub use fourier::dft;pub use fourier::dominant_frequency;pub use fourier::inverse_dft;pub use fourier::power_spectrum;pub use inference::anova_one_way;pub use inference::chi_squared_gof;pub use inference::chi_squared_independence;pub use inference::confidence_interval_mean;pub use inference::ks_test_one_sample;pub use inference::ks_test_two_sample;pub use inference::pearson_test;pub use inference::t_test_one_sample;pub use inference::t_test_paired;pub use inference::t_test_two_sample;pub use inference::TestResult;pub use resampling::bootstrap;pub use resampling::bootstrap_bca;pub use resampling::jackknife;pub use resampling::permutation_test;pub use resampling::BootstrapResult;
Modules§
- descriptive
- Descriptive statistics, error propagation, and weighted means.
- distributions
- Probability distributions: densities, mass functions, and CDFs.
- fourier
- Discrete Fourier transform utilities.
- inference
- Hypothesis tests and confidence intervals.
- resampling
- Resampling methods: bootstrap, BCa bootstrap, permutation tests, and the jackknife.
Functions§
- factorial
- Compute factorial of n: n! = 1 × 2 × … × n
- gamma_
lanczos - Compute the gamma function via Lanczos approximation: Γ(z).
Thin wrapper over
crate::special::gamma::gamma, kept for backwards compatibility.