initRhoiPALM3: initRhoiPALM3
In fssemR: Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network
initRhoiPALM3 R Documentation
initRhoiPALM3
Description
initRhoiPALM3
Usage
initRhoiPALM3(Xs, Ys, Bs, Fs, Sk, sigma2, Wl, Wf, lambda, n, p)
Arguments
Xs
eQTL matrices
Ys
Gene expression matrices
Bs
initialized GRN-matrices
Fs
initialized eQTL effect matrices
Sk
eQTL index of genes
sigma2
initialized noise variance
Wl
weight matrices for adaptive lasso terms
Wf
weight matrix for adaptive perturbation group lasso term
lambda
lambda w.r.t. rho_max
n
number of observations
p
number of genes
Value
rho_max
fssemR documentation built on March 18, 2022, 7:24 p.m.
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| initRhoiPALM3 | R Documentation |
initRhoiPALM3
Description
initRhoiPALM3
Usage
initRhoiPALM3(Xs, Ys, Bs, Fs, Sk, sigma2, Wl, Wf, lambda, n, p)
Arguments
Xs |
eQTL matrices |
Ys |
Gene expression matrices |
Bs |
initialized GRN-matrices |
Fs |
initialized eQTL effect matrices |
Sk |
eQTL index of genes |
sigma2 |
initialized noise variance |
Wl |
weight matrices for adaptive lasso terms |
Wf |
weight matrix for adaptive perturbation group lasso term |
lambda |
lambda w.r.t. rho_max |
n |
number of observations |
p |
number of genes |
Value
rho_max
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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