Description Usage Arguments Details Value References Examples
Creates control and manipulated Beta-Poisson (BP) samples for pre-specified BP parameters
1 | bp.dd.single(pars,N1,N2,case,degree,seedex)
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pars |
vector consisting of pre-specified values for the BP parameters alpha, beta, lambda1, lambda2 and p0 (in this order!) |
N1 |
size of the sample drawn from the control BP model |
N2 |
size of the sample drawn from the manipulated BP model |
case |
case corresponding to a specific parameter manipulation in the BP model; specifically, case can be one of "DLambda", "DAlpha", "DBeta", "DAlphaBeta" or "DPZ" following the design and the respective descriptive table in Schefzik (2021) |
degree |
parameter to set the degree of the created difference (low to strong), see Schefzik (2021) for details and the choice of a range of possible values |
seedex |
seed used for sampling from the fitted BP model to ensure reproducibility |
Creates control and manipulated BP samples for pre-specified BP parameters
A list of two:
sim.bp.ctrl: vector of simulated control BP sample
sim.bp.manip: vector of simulated manipulated BP sample
R. Schefzik (2021). SimBPDD: Simulating differential distributions in Beta-Poisson models, in particular for single-cell RNA-sequencing data. Annales Mathematicae et Informaticae, 53:283-298. Available at https://ami.uni-eszterhazy.hu/uploads/papers/finalpdf/AMI_53_from283to298.pdf
1 2 3 4 5 6 7 8 9 10 11 12 | #create vector consisting of pre-specified values for the BP parameters alpha, beta, lambda1,
#lambda2 and p0 (in this order!)
pars<-c(0.21,3.50,96.13,0.05218,0.02)
N1<-500
N2<-500
degree<-1/3
seedex<-24
dd1<-bp.dd.single(pars,N1,N2,case="DLambda",degree,seedex)
dd2<-bp.dd.single(pars,N1,N2,case="DAlpha",degree,seedex)
dd3<-bp.dd.single(pars,N1,N2,case="DBeta",degree,seedex)
dd4<-bp.dd.single(pars,N1,N2,case="DAlphaBeta",degree,seedex)
dd5<-bp.dd.single(pars,N1,N2,case="DPZ",degree,seedex)
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