EMpeaksR: Conducting the Peak Fitting Based on the EM Algorithm

The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019) <doi:10.1080/14686996.2019.1620123>). The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.

Getting started

Package details

AuthorTarojiro Matsumura [aut, cre]
MaintainerTarojiro Matsumura <matsumura-tarojiro@aist.go.jp>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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EMpeaksR documentation built on April 20, 2021, 5:10 p.m.