API reference

model.Variable(name[, init, lower_bound, ...])	Represents any parameter in the model, be it a free parameter of interest (POI) or a (constrained) nuisance parameter.
model.Process(name[, sub_procs])	Represents a process entering the analysis.
model.ChannelContrib(channel_name, yields[, ...])	Specify how a process contributes to a channel.
model.Model([do_bblite, seed])	Main class defining the statistical model (likelihood function), fitting etc.
model.MergedProcess(processes, channels)
utils.build_1d_tunfold_matrix(n_bins[, ...])	Build matrix of discrete second derivatives for TUnfold-like regularization in 1 dimension
utils.Dim6EFTMorphing(var, basis_points)	A class for morphing signals in a dimension-6 EFT