| Name : R-alkahest
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2024-07-29 09:53:54
|
| Group : Development/Libraries/Other
| Source RPM : R-alkahest-1.2.0-lp154.1.1.src.rpm
|
| Size : 1.44 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Pre-Processing XY Data from Experimental Methods
|
Description :
A lightweight, dependency-free toolbox for pre-processing XY data from
experimental methods (i.e. any signal that can be measured along a
continuous variable). This package provides methods for baseline
estimation and correction, smoothing, normalization, integration and
peaks detection. Baseline correction methods includes polynomial
fitting as described in Lieber and Mahadevan-Jansen (2003)
< doi:10.1366/000370203322554518>, Rolling Ball algorithm after Kneen
and Annegarn (1996) < doi:10.1016/0168-583X(95)00908-6>, SNIP algorithm
after Ryan et al. (1988) < doi:10.1016/0168-583X(88)90063-8>, 4S Peak
Filling after Liland (2015) < doi:10.1016/j.mex.2015.02.009> and more.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
