v5.2.0

5.2.0 (2026-06-24)

Features

• add analytical derivative to all 1D shapes (#92) (db40190)

v5.1.0

5.1.0 (2026-06-02)

Features

• factor calculation based in mu parameter for pseudoVoigt function (#89) (3cab2a2)

v5.0.0

5.0.0 (2026-05-29)

⚠ BREAKING CHANGES

• package is now ESM-only; consumers using require() must migrate to import, or run Node.js >= 20.19, >= 22.12, or any 24.x or later.

Features

• add PseudoVoigtTCH shape (TCH-style pseudo-Voigt with independent fwhmG/fwhmL) (de0561d)
• migrate to ESM and update tooling to current standards (2e0895f)

ml-peak-shape-generator v4.3.0

Features

• pseudovoigt: compute the factor based on mu parameter (#83) (bb4b572)

ml-peak-shape-generator v4.2.0

Features

• dispersive lorentzian implementation (#81) (1daf4b6)

ml-peak-shape-generator v4.1.4

Bug Fixes

• correct fwhm for generalized lorentzian (#78) (515b882)

ml-peak-shape-generator v4.1.3

Bug Fixes

• add generalizedLorentzian shape (#75) (9916cd2)

ml-peak-shape-generator v4.1.2

Bug Fixes

• export shape types (222296f)
• getLorenztianFactor function. close #70 (#71) (49dcc32)

ml-peak-shape-generator v4.1.1

Bug Fixes

• update cheminfo-types (8311faf)

ml-peak-shape-generator v4.1.0

Features

• add getParameters to Shape1D (7a967b1)