Enum DepthMethod 

#[non_exhaustive]
pub enum DepthMethod {
    FraimanMuniz {
        scale: bool,
    },
    Band,
    ModifiedBand,
    RandomProjection {
        nproj: usize,
        seed: u64,
    },
    HypographIndex,
    ModifiedHypographIndex,
    EpigraphIndex,
    HalfRegion,
    ModifiedHalfRegion,
    Extremal,
    ExtremeRankLength,
    LInfinity,
    TotalVariation,
}

Depth measure selector for functional_depth and functional_boxplot.

Each variant maps 1:1 to an existing self-depth call:

• FraimanMuniz { scale } → fraiman_muniz_1d(data, data, scale)
• Band → band_1d(data, data)
• ModifiedBand → modified_band_1d(data, data)
• RandomProjection { nproj, seed } → random_projection_1d_seeded(data, data, nproj, Some(seed))

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

FraimanMuniz

Fraiman-Muniz depth. scale toggles the scaled 2·min(Fn, 1−Fn) form.

Fields

scale: bool

Whether to scale the depth values.

Band

Band depth (BD).

ModifiedBand

Modified band depth (MBD).

RandomProjection

Random projection depth. seed makes results bit-reproducible.

Fields

nproj: usize

Number of random projection directions.

seed: u64

RNG seed for deterministic projections.

HypographIndex

Hypograph index (HI). Global indicator: fraction of reference curves globally at or below the object curve. Requires n >= 2. [CITED: roahd::HI]

ModifiedHypographIndex

Modified hypograph index (MHI). Pointwise average: fraction of time the object curve dominates each reference curve. [CITED: roahd::MHI]

EpigraphIndex

Epigraph index (EI, un-modified). Global indicator: fraction of reference curves globally at or above the object curve. Requires n >= 2. [CITED: roahd::EI]

HalfRegion

Half-region depth (HRD) = min(EI, HI) over the global indicators. Requires n >= 2. [CITED: roahd::HRD]

ModifiedHalfRegion

Modified half-region depth (MHRD) = min(MEI, MHI) over the pointwise modified indices. [CITED: roahd::MHRD]

Extremal

Extremal depth (Narisetty & Nair 2016). Rank-ordering measure; requires n >= 3. [CITED: fdaoutlier::extremal_depth]

ExtremeRankLength

Extreme-rank-length depth. Lexicographic rank-vector ordering; requires n >= 2. [CITED: fdaoutlier::extreme_rank_length]

LInfinity

L-infinity (sup-norm) depth. Valid for n >= 1. [CITED: fdaoutlier::linfinity_depth]

TotalVariation

Total variation depth + MSSI (Huang & Sun 2019). Dispatches the TVD (magnitude) component; requires n >= 3. [CITED: fdaoutlier::total_variation_depth]

Trait Implementations

impl Clone for DepthMethod

fn clone(&self) -> DepthMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for DepthMethod

impl Debug for DepthMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DepthMethod

fn eq(&self, other: &DepthMethod) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for DepthMethod