Scenario-class: Class 'Scenario'
In wlandau/fbseq: fbseq

Set individual slots in a Scenario object (data, design matrix, etc.) listed by help("Scenario-class").

bounds: Numeric vector of length length(contrasts). Used to formulate logical propositions involving contrasts.
contrasts: list of numeric vectors, each length L. Each vector is a contrast of the beta_{l, .}'s of interest.
counts: RNA-seq count data matrix with G rows (for genes) and N columns (for libraries/samples).
design: Design matrix, with N rows and L columns. Same format as in edgeR::glmFit, with RNA-seq libraries/samples as rows and each beta_{l, .} as a column.
propositions: List of numeric vectors of length P. Each numeric vector v denotes a logical proposition that involves the contrasts list and bounds vector. Each element of v is the index of a contrast in contrasts. For each gene, the MCMC will estimate the posterior probability that each contrast (of the beta parameters) denoted in v is greater than its corresponding value in bound. See the tutorial vignette for more details
supplement: a list containing supplementary information about the scenario: for example, how the data were simulated, if applicable