NMRphasing: Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data

There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).

Version:	1.0.4
Depends:	R (≥ 4.3.0), stats
Imports:	baseline, splines, MassSpecWavelet
Suggests:	knitr, rmarkdown, ggpubr
Published:	2024-01-19
Author:	Aixiang Jiang [aut, cre, cph]
Maintainer:	Aixiang Jiang <aijiang at bccrc.ca>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	NMRphasing results

Documentation:

Reference manual:	NMRphasing.pdf
Vignettes:	NMRphasing

Downloads:

Package source:	NMRphasing_1.0.4.tar.gz
Windows binaries:	r-devel: NMRphasing_1.0.4.zip, r-release: NMRphasing_1.0.4.zip, r-oldrel: NMRphasing_1.0.4.zip
macOS binaries:	r-release (arm64): NMRphasing_1.0.4.tgz, r-oldrel (arm64): not available, r-release (x86_64): NMRphasing_1.0.4.tgz, r-oldrel (x86_64): not available
Old sources:	NMRphasing archive

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