Package: EMpeaksR 0.3.1

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, 2021 and 2023) <doi:10.1080/14686996.2019.1620123>, <doi:10.1080/27660400.2021.1899449> <doi:10.1080/27660400.2022.2159753>. 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.

Authors:Tarojiro Matsumura [aut, cre]

EMpeaksR_0.3.1.tar.gz
EMpeaksR_0.3.1.zip(r-4.5)EMpeaksR_0.3.1.zip(r-4.4)EMpeaksR_0.3.1.zip(r-4.3)
EMpeaksR_0.3.1.tgz(r-4.4-any)EMpeaksR_0.3.1.tgz(r-4.3-any)
EMpeaksR_0.3.1.tar.gz(r-4.5-noble)EMpeaksR_0.3.1.tar.gz(r-4.4-noble)
EMpeaksR_0.3.1.tgz(r-4.4-emscripten)EMpeaksR_0.3.1.tgz(r-4.3-emscripten)
EMpeaksR.pdf |EMpeaksR.html
EMpeaksR/json (API)
NEWS

# Install 'EMpeaksR' in R:
install.packages('EMpeaksR', repos = c('https://matsumuratarojiro.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 167 downloads 10 exports 0 dependencies

Last updated 2 years agofrom:ffb248b9e2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:show_dsgmm_curveshow_gmm_curveshow_lmm_curveshow_pvmm_curveshow_pvmm_lback_curvespect_em_dsgmmspect_em_gmmspect_em_lmmspect_em_pvmmspect_em_pvmm_lback

Dependencies: