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:	0.1-8
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

Documentation:

Reference manual:

BBEST.html , BBEST.pdf

Downloads:

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

Linking:

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