glm.init_par: Parallelized glm.init
In limddavid/FSCseq: Feature Selection and Clustering of RNA-seq Count Data
Description
Usage
Arguments
Value
Description
Uses glm() and phi_ml_g() functions to initialize
estimates at the beginning of EM algorithm.
Usage
1
glm.init_par(j)
Arguments
j
integer, gene index j
Value
list containing outputs coefs_j: vector of length k corresponding to each cluster log2 baseline,
phi_g: Overdispersion estimate
limddavid/FSCseq documentation built on Dec. 14, 2021, 7:06 p.m.
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Description Usage Arguments Value
Description
Uses glm() and phi_ml_g() functions to initialize estimates at the beginning of EM algorithm.
Usage
1 | glm.init_par(j)
|
Arguments
j |
integer, gene index j |
Value
list containing outputs coefs_j: vector of length k corresponding to each cluster log2 baseline, phi_g: Overdispersion estimate
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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