fn simple_random_sample<T: Clone>(population: &[T], n: usize) -> Vec<T>
Source: sampling.joule:10
fn sample_with_replacement<T: Clone>(population: &[T], n: usize) -> Vec<T>
Source: sampling.joule:26
fn systematic_sample<T: Clone>(population: &[T], n: usize) -> Vec<T>
Source: sampling.joule:34
fn stratified_sample<T: Clone>(
Source: sampling.joule:49
fn proportional_stratified_sample<T: Clone>(
Source: sampling.joule:65
fn cluster_sample<T: Clone>(
Source: sampling.joule:84
struct ReservoirSampler
Reservoir sampling (for streaming data)
Source: sampling.joule:99
fn new(k: usize) -> Self
Create new reservoir sampler
Source: sampling.joule:107
fn add(&mut self, item: T)
Source: sampling.joule:117
fn sample(&self) -> &[T]
Get current sample
Source: sampling.joule:132
fn count(&self) -> usize
Get count of items seen
Source: sampling.joule:137
fn weighted_sample<T: Clone>(
Source: sampling.joule:144
struct Bootstrap
Bootstrap resampling
Source: sampling.joule:190
fn new(data: &'a [T], n_bootstrap: usize) -> Self
Source: sampling.joule:196
fn run<F, R>(&self, statistic: F) -> Vec<R>
Source: sampling.joule:202
fn confidence_interval<F>(&self, statistic: F, alpha: f64) -> (f64, f64)
Source: sampling.joule:216
fn bca_confidence_interval<F>(&self, statistic: F, alpha: f64) -> (f64, f64)
Source: sampling.joule:231
struct Jackknife
Jackknife resampling
Source: sampling.joule:291
fn new(data: &'a [T]) -> Self
Source: sampling.joule:296
fn estimates<F, R>(&self, statistic: F) -> Vec<R>
Source: sampling.joule:302
fn bias<F>(&self, statistic: F) -> f64
Source: sampling.joule:320
fn standard_error<F>(&self, statistic: F) -> f64
Source: sampling.joule:333
struct PermutationTest
Permutation test
Source: sampling.joule:350
fn new(group1: &'a [f64], group2: &'a [f64], n_permutations: usize) -> Self
Source: sampling.joule:357
fn test<F>(&self, statistic: F) -> f64
Source: sampling.joule:367
struct CrossValidator
Cross-validation splits
Source: sampling.joule:395
fn new(n_splits: usize, shuffle_data: bool) -> Self
Source: sampling.joule:401
fn split(&self, n_samples: usize) -> Vec<(Vec<usize>, Vec<usize>)>
Source: sampling.joule:407
struct LeaveOneOut;
Leave-one-out cross-validation
Source: sampling.joule:438
fn split(n_samples: usize) -> Vec<(Vec<usize>, Vec<usize>)>
Source: sampling.joule:442
struct StratifiedKFold
Stratified k-fold cross-validation
Source: sampling.joule:454
fn new(n_splits: usize) -> Self
Source: sampling.joule:459
fn split(&self, labels: &[usize]) -> Vec<(Vec<usize>, Vec<usize>)>
Source: sampling.joule:465
struct MonteCarlo
Monte Carlo simulation
Source: sampling.joule:503
fn new(n_simulations: usize) -> Self
Source: sampling.joule:508
fn run<F, R>(&self, simulation: F) -> Vec<R>
Source: sampling.joule:514
fn estimate_probability<F>(&self, event: F) -> f64
Source: sampling.joule:525
fn estimate_expectation<F>(&self, random_variable: F) -> f64
Source: sampling.joule:538