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We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines. The description of the corresponding approach could be found at Gagin and Levin (2014) <doi:10.1107/S1600576714023796>.
Version: | 0.1-8 |
Imports: | DEoptim, aws, grid, ggplot2, reshape2, shiny, methods |
Published: | 2020-11-19 |
DOI: | 10.32614/CRAN.package.BBEST |
Author: | Anton Gagin and Igor Levin with contributions from Charles R. Hogg III |
Maintainer: | Anton Gagin <av.gagin at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | BBEST citation info |
Materials: | README NEWS ChangeLog |
CRAN checks: | BBEST results |
Reference manual: | BBEST.pdf |
Package source: | BBEST_0.1-8.tar.gz |
Windows binaries: | r-devel: BBEST_0.1-8.zip, r-release: BBEST_0.1-8.zip, r-oldrel: BBEST_0.1-8.zip |
macOS binaries: | r-release (arm64): BBEST_0.1-8.tgz, r-oldrel (arm64): BBEST_0.1-8.tgz, r-release (x86_64): BBEST_0.1-8.tgz, r-oldrel (x86_64): BBEST_0.1-8.tgz |
Old sources: | BBEST archive |
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