BBEST: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
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: |
0.1-9 |
| Imports: |
DEoptim, aws, grid, ggplot2, reshape2, shiny, methods |
| Published: |
2026-09-04 |
| DOI: |
10.32614/CRAN.package.BBEST |
| Author: |
Anton Gagin [aut, cre],
Igor Levin [aut],
Charles R. Hogg III [ctb] |
| 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 [issues need fixing before 2026-09-14] |
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