Score MFDFA spectrum (frac-mfdfa) within-sample discriminator

Scores each row of X independently with the frozen model learned by fit_frac_mfdfa. Model-universe features present in X are placed in the frozen canonical order; for one specimen its within-sample rCLR landscape is resampled to the frozen length, transformed into a fixed MFDFA spectrum descriptor using the frozen scales and q grid, standardized by the frozen training center/scale, and passed through the frozen ridge-LDA head. Larger scores are more case-like.

Scoring uses only each row's own values plus the frozen model. If fewer than model$hp$min_features model-universe features are present in X, or a specimen's own positive support is below that floor, the documented neutral score 0 is returned.

Usage

score_frac_mfdfa(model, X, meta = NULL)

Arguments

model

A frac_mfdfa_model returned by fit_frac_mfdfa.

X

Numeric matrix (samples \(\times\) features) of non-negative abundance values. Columns must be named feature ids.

meta

Optional per-sample metadata. Accepted for interface uniformity and ignored by this method.

Value

Plain finite numeric vector of length nrow(X). Larger values are more case-like.

References

Kantelhardt JW, Zschiegner SA, Koscielny-Bunde E, et al. (2002) Multifractal detrended fluctuation analysis of nonstationary time series. Physica A 316(1-4): 87-114.

Peng CK, Buldyrev SV, Havlin S, et al. (1994) Mosaic organization of DNA nucleotides. Physical Review E 49(2): 1685-1689.

Examples

if (FALSE) { # \dontrun{
score_frac_mfdfa(model, X[1, , drop = FALSE])
} # }