Package: BBEST 0.1-9

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>.

Authors:Anton Gagin [aut, cre], Igor Levin [aut], Charles R. Hogg III [ctb]

BBEST_0.1-9.tar.gz
BBEST_0.1-9.zip(r-4.7-any)BBEST_0.1-9.zip(r-4.6-any)BBEST_0.1-9.zip(r-4.5-any)
BBEST_0.1-9.tgz(r-4.6-any)BBEST_0.1-9.tgz(r-4.5-any)
BBEST_0.1-9.tar.gz(r-4.7-any)BBEST_0.1-9.tar.gz(r-4.6-any)
BBEST_0.1-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BBEST/json (API)

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

On CRAN:

Conda:

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

2.00 score 4 scripts 617 downloads 2 mentions 75 exports 49 dependencies

Last updated from:06757d8b98. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK149
source / vignettesOK166
linux-releaseOK156
macos-releaseOK168
macos-oldrelOK226
windows-develOK88
windows-releaseOK93
windows-oldrelOK85
wasm-releaseOK96

Exports:basisMatrixbasisSplinebkg.analytcalc.GrcovMatrix.DIcovMatrixSEDMatrixdo.fitdo.fit.banksdo.iterDxfix.mergefplot.Grget.bkgget.derivget.hessget.hess.numericallyget.posteriorgolden.searchgrad.descentguideinvert.orderlogLikelihoodBkglogLikelihoodBkgAnalytlogLikelihoodGrCorrlogLikelihoodGrGausslogLikelihoodSignallogLikelihoodSignalAnalytlogPosteriorlogPosteriorAnalytlogPriorBkgRGPlogPriorBkgRSmoothlogPriorFlogProbabilityBkgRmPlot.resultsmPlot.results.banksmPlot.sqanoise.cov.matrix.rnoise.cov.rnoise.cov.vector.rprepare.banks.dataProgressprogressInitread.dataread.sqaread.sqbregularized.choleskyrow.outer.productrunUIset.controlset.dataset.DEoptim.controlset.Grset.lambdaset.SBset.sigmasetProgresssineFTsineFT.matrixsqa.splitstep1step10step2step3step5step6step7step8step9test.signaltrim.datawhatIsSpecifiedwithProgresswrite.fit.resultswrite.fix

Dependencies:awsawsMethodsbase64encbslibcachemclicommonmarkcpp11DEoptimdigestfarverfastmapfontawesomefsggplot2gluegslgtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeotelplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangS7sassscalesshinysourcetoolsstringistringrvctrsviridisLitewithrxtable