makeSimulatedFraserDataSet {FRASER} | R Documentation |
Simulates a data set based on random counts following a beta binomial (or Dirichlet-Multinomial) distribution.
makeSimulatedFraserDataSet( m = 100, j = 500, q = 10, distribution = c("BB", "DM"), ... )
m |
Number of simulated samples |
j |
Number of simulated junctions |
q |
number of simulated latent variables. |
distribution |
Either "BB" for a beta-binomial simulation or "DM" for a dirichlet-multinomial simulation. |
... |
Further arguments used to construct the FraserDataSet. |
An FraserDataSet containing an example dataset based on simulated data
# A generic dataset fds1 <- makeSimulatedFraserDataSet() fds1 # A generic dataset with specificed sample size and injection method fds2 <- makeSimulatedFraserDataSet(m=10, j=100, q=3) fds2