Changes in version 0.4.2 (2026-02-03)                  

  - Bug fix in an example due to a new dplyr version (1.2.0).

                 Changes in version 0.4.1 (2025-04-06)                  

  - Updates due to a new R version.

                        Changes in version 0.4.0                        

Bug fixes

New functions

  - ir_scale(): Function to scale intensity values in spectra, similar
    to base::scale(). Intensity values are scaled for the same x axis
    values.
  - ir_as_ir.ir_flat(): Conversion of ir_flat objects to ir objects.
  - ir_as_ir.hyperSpec(): Conversion of hyperSpec::hyperSpec objects to
    ir objects.
  - ir_as_ir.Spectra(): Conversion of ChemoSpec::Spectra objects to ir
    objects.
  - ir_identify_empty_spectra(): Identifies rows in an ir object with
    empty spectra (former internal function
    ir_check_for_empty_spectra()).
  - ir_sample_prospectr(): Wrapper function to use sampling algorithms
    implemented in the 'prospectr' package directly with 'ir' objects.

Improvements

  - ir_correct_atmosphere() has a new parameter return_contribution
    which allows to return the contribution of ref to each spectrum in
    x.
  - ir_normalize() has three new methods to normalize spectra:
    1.  With method = "area_absolute", all intensity values will be
        divided by the sum of the absolute intensity values at all
        wavenumber values of the spectrum.
    2.  With method = "vector", all intensity values will be divided by
        the norm of the intensity vector (vector normalization).
    3.  With method = "snv", a Standard Normal Variate correction will
        be performed.
  - ir_bc_rubberband() has an additional parameter to allow imputation
    of the first and last value in a spectra to avoid artifacts which
    may happen during baseline correction with the rubberband algorithm.
  - All functions now fully support empty spectra.
  - Several dependencies in Imports have been moved to Suggests.
  - Efficiency of several functions has been improved.

                        Changes in version 0.3.0                        

Bug fixes

  - In ir_import_spc(), the returned ir object was not a tbl_df, but a
    data frame. This is now corrected.
  - In unnest.ir(), the ir class was not restored and therefore the
    result was always unclassed.
  - In ir_average(), the returned ir object was still a grouped_df. This
    is now corrected (by adding the .groups argument for
    dplyr::summarize() which is internally used by ir_average()).

New functions

  - ir_export_prepare() to support exporting ir objects to csv.
  - ir_correct_atmosphere() enables correcting for atmospheric artifacts
    (e.g. H$_2$O and CO$_2$ peaks) following Perez-Guaita et al. (2013)
    (DOI: 10.1366/13-07159).

Improvements

  - Making ir_flatten() faster by improving spectra combining.
  - Making ir_bin() faster by improving spectra summarizing per bin.
    Allowing to specify how wavenumber values should be defined after
    binning.
  - Arithmetic operations now also accept numeric vectors
    (ir_subtract(), ir_add(), ir_multiply(), ir_divide()).

                 Changes in version 0.2.1 (2022-05-02)                  

  - Circumventing a bug in ir_import_spc() by allowing to not export
    spectra metadata. This bug is caused by hyperSpec::read.spc() and
    will be fixed in the upcoming weeks. See
    https://github.com/r-hyperspec/hyperSpec/issues/80

                 Changes in version 0.2.0 (2022-04-25)                  

  - First CRAN release (#1).
  - Added a NEWS.md file to track changes to the package.
  - Added tidyverse methods for ir objects.
  - ir objects no longer require columns measurement_id and sample_id,
    but only the column spectra.
  - Added subsetting and binding methods for ir objects.
  - Added arithmetic operators for ir objects.