parmEstDensVec: Density estimation on a single vector
In SPsimSeq: Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
Description
Usage
Arguments
Value
Description
Density estimation on a single vector
Usage
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parmEstDensVec(
Y0,
model.zero.prob,
min.val,
w,
prev.min.val = 0.25,
min.count.nonnull = 3
)
Arguments
Y0
the vector of observations
model.zero.prob, min.val, w
see geneParmEst()
prev.min.val
minimum prevalence of minimum values
min.count.nonnull
minimum count for estimation
Value
density estimates
SPsimSeq documentation built on Nov. 8, 2020, 5:09 p.m.
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Description Usage Arguments Value
Description
Density estimation on a single vector
Usage
1 2 3 4 5 6 7 8 | parmEstDensVec(
Y0,
model.zero.prob,
min.val,
w,
prev.min.val = 0.25,
min.count.nonnull = 3
)
|
Arguments
Y0 |
the vector of observations |
model.zero.prob, min.val, w |
see geneParmEst() |
prev.min.val |
minimum prevalence of minimum values |
min.count.nonnull |
minimum count for estimation |
Value
density estimates
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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