Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Overview
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.
CRAN check notes: added Authors@R, restored lost Rd markup in runUI(),
and documented Progress usage.
From NEWS.md in the release
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- NOTE14 NOTE2026-03-10
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- Return-value docs
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- Help pages citing references
- 23%
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- 0.1-9Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1-82020-11-19 · diff ↗
- unarchivedReturned to CRAN2020-10-26
- 0.1-72020-10-26 · diff ↗
- archivedRemoved from CRAN2020-06-09required archived package 'wmtsa'
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
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Package metadata
- First published
- 2014-08-15
- Total releases
- 10 / 12 yrs
- License
- GPL-3 OSI
- Download size
- 894 KB
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