sim.counts: Dirichlet-multinomial counts simulation
In ldiao/Gimp: Good-Turing and empirical Bayes pseudocounts for sparse count matrices
Description
Usage
Arguments
Details
Description
Simulates counts according to a Dirichlet-multinomial model, according
to model parameters given by object dm.fit.
Usage
1
sim.counts(dm.fit, ls, remove.zero.rows = FALSE)
Arguments
dm.fit
dirmult object. Alternatively, a list object with at least gamma object,
corresponding to parameters of a Dirichlet distribution
ls
vector of library sizes of samples to be generated
remove.zero.rows
whether or not to remove rows of all zeroes
Details
Simulates a single set of counts, generated according to the
parameters in object dm.fit. Requires package dirmult to generate samples.
ldiao/Gimp documentation built on May 20, 2019, 11:29 p.m.
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Description Usage Arguments Details
Description
Simulates counts according to a Dirichlet-multinomial model, according to model parameters given by object dm.fit.
Usage
1 | sim.counts(dm.fit, ls, remove.zero.rows = FALSE)
|
Arguments
dm.fit |
|
ls |
vector of library sizes of samples to be generated |
remove.zero.rows |
whether or not to remove rows of all zeroes |
Details
Simulates a single set of counts, generated according to the
parameters in object dm.fit. Requires package dirmult to generate samples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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