Infrastructure for Computing with Basis Functions
person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org")
Some very simple infrastructure for basis functions.
stats, polynom, Matrix, orthopolynom, methods

person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org", comment = c(ORCID = "0000-0001-8301-0471"))

Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)

Kristian Hovde Liland and Bjørn-Helge Mevik
Collection of baseline correction algorithms, along with a
framework and a GUI for optimising baseline algorithm
parameters.

Kristian Hovde Liland and Bj<f8>rn-Helge Mevik

Collection of baseline correction algorithms, along with a framework and a GUI for optimising baseline algorithm parameters.

c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"), person("Bjørn-Helge", "Mevik", role=c("aut")))
Kristian Hovde Liland [aut, cre],
Bjørn-Helge Mevik [aut]

c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"), person("Bjørn-Helge", "Mevik", role=c("aut")), person("Roberto", "Canteri", role=c("ctb")))
Kristian Hovde Liland [aut, cre],
Bjørn-Helge Mevik [aut],
Roberto Canteri [ctb]

Collection of baseline correction algorithms, along with a framework and a GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
graphics, SparseM, grDevices, stats, methods

graphics, SparseM, grDevices, stats, methods, limSolve

Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
gWidgets2, gWidgets2tcltk, IDPmisc, lattice, pls, MASS