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: 1.0.7 Depends: R (≥ 4.3.0) Imports: stats, baseline, splines, MassSpecWavelet, signal Suggests: knitr, rmarkdown, ggpubr, conflicted Published: 2025-06-24 DOI: 10.32614/CRAN.package.NMRphasing 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 (source, R code)Please use the canonical form https://CRAN.R-project.org/package=NMRphasing to link to this page.
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