BBEST-package           Bayesian Background Estimation.
Progress-class          Reporting progress (object-oriented API)
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
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.Gr                  Add information on the low-r behaviour of G(r)
set.SB                  Set the coherent baseline
set.control             Set controls for the Differential Evolution
                        Algorithm
set.data                Set data
set.lambda              Set mean signal magnitude
set.sigma               Set the experimental uncertainty
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
