Package: sabarsi
Type: Package
Title: Background Removal and Spectrum Identification for SERS Data
Version: 0.1.0
Authors@R: c(
	person("Li", "Jun", email = "jun.li@nd.edu", role = "cre"),
	person("Wang", "Chuanqi", email = "cwang14@nd.edu", role = 'aut'))
Description: Implements a new approach 'SABARSI' described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished). 
	Sabarsi forms a pipeline for SERS (surface-enhanced Raman scattering) data analysis including background removal, signal detection, signal integration, and cross-experiment comparison. The background removal algorithm, the very first step of SERS data analysis, takes into account the change of background shape.   
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown (>= 1.13)
Imports: stats (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-07 11:29:47 UTC; Chuanqi
Author: Li Jun [cre],
  Wang Chuanqi [aut]
Maintainer: Li Jun <jun.li@nd.edu>
Repository: CRAN
Date/Publication: 2019-08-08 12:30:02 UTC
Built: R 4.0.2; ; 2020-07-15 19:32:10 UTC; unix
