- Add baseline estimation with asymmetric least squares smoothing (Eilers and Boelens, 2005).
- Add Standard Normal Variate (SNV) transformation (Barnes et al., 1989).
- Follow changes in Matrix 1.6-0 (
Matrix::solve(a=<Matrix>, b=<vector>)
returns a vector).
- Add penalized likelihood smoothing (de Rooi et al. 2014).
- Add ka2 radiation removal method (de Rooi et al., 2014).
baseline_peakfilling()
now smoothes the data using the Whittaker smoother as defined in Liland (2015).
- Use tinytest instead of testthat.
- First release