Package: BBEST 0.1-8

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 and Igor Levin with contributions from Charles R. Hogg III

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NEWS

# 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 340 downloads 2 mentions 75 exports 59 dependencies

Last updated 4 years agofrom:0298a3cac0. Checks:3 OK, 6 NOTE. Indexed: yes.

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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:awsawsMethodsbase64encbslibcachemclicolorspacecommonmarkcrayonDEoptimdigestfansifarverfastmapfontawesomefsggplot2gluegslgtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangsassscalesshinysourcetoolsstringistringrtibbleutf8vctrsviridisLitewithrxtable