baysic.fit and baysic.test which generates reduced data representations of mutation and reference data by collapsing sequence categories into single columnsfn.cat(dat, snv.cat)ref.dat or snv.dat data matrixlist of length $C$, where $C$ is the number of sequence categories desired to be modeled ($C\leq32$). Each element of snv.cat should be a vector of character strings of trinucleotide motifs (e.g., c("ATA","ACA")) which define a group of motifs which are assumed to have the same background mutation rate.snv.catbaysic.fit,baysic.test