Changes in version 0.3.0 (2026-07-21)                  

  - New TGA module:
      - read_tga_txt(): defensive plain-text reader for raw TGA exports
        (temperature, time, weight columns), following the same
        readLines()/strsplit() approach as
        read_ftir_txt()/read_xrd_txt().
      - tga_normalize(): rescale a raw mass column (e.g. mg) to percent
        of initial mass.
      - tga_dtg(): smoothed derivative thermogravimetric (DTG) curve via
        stats::smooth.spline(), rather than a raw finite difference of
        noisy instrument data.
      - find_dtg_peaks(): automatic local-maxima peak picking on a DTG
        curve with a prominence filter, mirroring find_ftir_peaks().
      - tga_decomposition_reference() / assign_dtg_peaks(): reference
        table of typical lignocellulosic decomposition temperature
        ranges (moisture, hemicellulose, cellulose, lignin) and a
        matcher for observed DTG peaks, mirroring ftir_band_reference()
        / assign_ftir_peaks().
      - tga_stages(): reads moisture/volatile-matter/ash percentages
        directly off a TGA curve at three temperature breakpoints and
        hands them to the existing proximate_analysis() for
        fixed-carbon-by- difference, so a TGA-derived proximate analysis
        gets the same 100%-sum check as a gravimetric one.
      - tga_stages_batch(): tga_stages() applied per sample ID across a
        long-format multi-sample data frame, mirroring
        fit_isotherm_batch() / fit_kinetics_batch().
      - tga_kinetics_kissinger(): non-isothermal single-step kinetics
        (activation energy and pre-exponential factor) from DTG peak
        temperatures at several heating rates, following Kissinger
        (1957) doi:10.1021/ac60131a045. Returns a plain lm-backed fit
        object, so fit_confint() works on it directly like any other fit
        in this package.
      - plot_tga(): base-graphics dual-axis TG/DTG plot, usable with the
        existing save_tiff() for 600 dpi export.

                 Changes in version 0.2.0 (2026-07-21)                  

  - New isotherm models: fit_temkin(), fit_dr() (Dubinin-Radushkevich,
    with mean free energy E), fit_sips().
  - New kinetics models: fit_elovich(), fit_intraparticle()
    (Weber-Morris).
  - Thermodynamics: fit_vant_hoff() computes deltaH, deltaS, and deltaG
    from equilibrium distribution coefficients across temperatures.
  - fit_confint(): confidence intervals for any isotherm/kinetics/van't
    Hoff fit from this package, with an automatic fallback to a Wald
    interval if profiling fails.
  - Batch fitting: fit_isotherm_batch() and fit_kinetics_batch() fit a
    model separately per group (e.g. per sample ID), skipping groups
    that fail to converge with a warning instead of aborting the whole
    batch.
  - FTIR: baseline_correct() (linear or rolling-minimum baseline) and
    find_ftir_peaks() (automatic local-maxima peak picking with a
    prominence filter).
  - XRD: xrd_deconvolve(), a simplified simultaneous multi-Gaussian peak
    fit that also returns a crystallinity index.
  - bet_surface_area(): multi-point BET surface area from gas adsorption
    data.
  - Proximate/ultimate analysis: pct_mass_change(), proximate_analysis()
    (fixed carbon by difference), ultimate_ratios() (H/C, O/C, N/C
    atomic ratios for Van Krevelen analysis).
  - New vignette, vignette("biocharkit-intro"), walking through a full
    synthetic-data analysis using every function in the package.
  - Bugfix: find_ftir_peaks() incorrectly rejected a local maximum that
    fell exactly between two grid points (a common case when a peak
    center doesn't align with the sampling interval), due to requiring a
    strictly unique maximum within the search window. Tied/plateau
    maxima are now correctly collapsed to a single peak at their
    midpoint.

                        Changes in version 0.1.0                        

  - Initial release.
  - Sample ID parsing: parse_sbc_id().
  - Data import: read_ftir_txt(), read_xrd_txt().
  - Adsorption: qe_batch(), removal_efficiency().
  - Isotherms: fit_langmuir(), fit_freundlich() (nonlinear with
    linearised fallback).
  - Kinetics: fit_pfo(), fit_pso().
  - FTIR: ftir_band_reference(), assign_ftir_peaks(),
    functional_group_density().
  - XRD: xrd_crystallinity_index().
  - Statistics: correlation_matrix().
  - Plotting: plot_isotherm(), plot_kinetics(), plot_ftir_spectrum(),
    save_tiff().
  - Synthetic example dataset sbc_example for demonstration and testing.