Bayesian Estimation of Incoherent Neutron Scattering Backgrounds

---

Documentation for package ‘BBEST’ version 0.1-8

• DESCRIPTION file.
• Package NEWS.

Help Pages

BBEST-package	Bayesian Background Estimation.
BBEST	Bayesian Background Estimation.
calc.Gr	Calculate and plot the Pair Distribution Function
do.fit	Estimate background
do.fit.banks	Estimate the background for individual banks
do.iter	Estimate the background
fix.merge	Merge .fix files
guide	BBEST guide
mPlot.results	Plot the background estimate
mPlot.results.banks	Plot the background estimate for individual banks
mPlot.sqa	Plot the total normalized scattering intensity function 'S(Q)' for individual detector banks
prepare.banks.data	Prepare data for estimating the background
Progress	Reporting progress (object-oriented API)
Progress-class	Reporting progress (object-oriented API)
progressInit	Initialize progress
read.data	Read data from file
read.sqa	Read data from a '.sqa'-file
read.sqb	Read data from a '.sqb'-file
runUI	Start the GUI
set.control	Set controls for the Differential Evolution Algorithm
set.data	Set data
set.Gr	Add information on the low-r behaviour of G(r)
set.lambda	Set mean signal magnitude
set.SB	Set the coherent baseline
set.sigma	Set the experimental uncertainty
setProgress	Reporting progress (functional API)
sqa.split	Split .sqa file into individual files for each databank
test.signal	A random function with a smooth background
trim.data	Truncate data
withProgress	Reporting progress (functional API)
write.fit.results	Save results of the fit
write.fix	Save a correction file for individual detector banks