CRAN/E | sabarsi

sabarsi

Background Removal and Spectrum Identification for SERS Data

Installation

About

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described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished).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.

Key Metrics

Version 0.1.0
R ≥ 3.5.0
Published 2019-08-08 1887 days ago
Needs compilation? no
License GPL-3
CRAN checks sabarsi results

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Maintainer

Maintainer

Li Jun

Authors

Li Jun

cre

Wang Chuanqi

aut

Material

Reference manual
Package source

Vignettes

sabarsi

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

stats ≥ 3.5.0

Suggests

knitr
rmarkdown ≥ 1.13