Description Usage Arguments Details Value Examples
Samples from the posterior distribution output by SAVER.
1  sample.saver(x, rep = 1, efficiency.known = FALSE, seed = NULL)

x 
A 
rep 
Number of sampled datasets. Default is 1. 
efficiency.known 
Whether the efficiency is known. Default is

seed 
seed used in 
The SAVER method outputs a posterior distribution, which we can sample from for downstream analysis. The posterior distribution accounts for uncertainty in the SAVER estimation procedure. If the efficiency is known, negative binomial sampling is performed; otherwise, gamma sampling is performed.
A matrix of expression values sampled from SAVER posterior. If
rep
> 1, a list of matrices is returned
1 2 3  data("linnarsson_saver")
samp1 < sample.saver(linnarsson_saver, seed = 50)

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