zinbGrad: Gradient of complete data log-likelihood function for DECENT...
In cz-ye/DECENT: Differential Expression with Capture Efficiency adjustmeNT
zinbGrad R Documentation
Gradient of complete data log-likelihood function for DECENT model
Description
Not used currently
Usage
zinbGrad(p, y, status, sf, ct)
Arguments
p
A vector of parameter
p[1] = logistic regression intercept for pi0
p[2] = log mu for the first cell type
p[3] = log fold-change (FC) for mean parameter
p[4] = log dispersion (1/size) parameter
cz-ye/DECENT documentation built on Jan. 25, 2023, 5:57 a.m.
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| zinbGrad | R Documentation |
Gradient of complete data log-likelihood function for DECENT model
Description
Not used currently
Usage
zinbGrad(p, y, status, sf, ct)
Arguments
p |
A vector of parameter p[1] = logistic regression intercept for pi0 p[2] = log mu for the first cell type p[3] = log fold-change (FC) for mean parameter p[4] = log dispersion (1/size) parameter |
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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