fast.dingo: Perform DINGO
In singha53/amritr: Accessory Functions Used by Amrit Singh
Description
Differential Network Analysis in Genomics
Usage
1
2
fast.dingo(dat, x, rhoarray = NULL, diff.score = T, B = 30,
verbose = T, threads = 4)
Arguments
dat
nxp dataset
x
response vector of n subjects
rhoarray
penalization values for inverse covariance matrix (computed via glasso)
diff.score
compute edge score
B
Number of permutations (bootstraps)
verbose
TRUE/FALSE
threads
Number of cores to permutations over cores
singha53/amritr documentation built on July 21, 2019, 3:46 p.m.
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Description
Differential Network Analysis in Genomics
Usage
1 2 | fast.dingo(dat, x, rhoarray = NULL, diff.score = T, B = 30,
verbose = T, threads = 4)
|
Arguments
dat |
nxp dataset |
x |
response vector of n subjects |
rhoarray |
penalization values for inverse covariance matrix (computed via glasso) |
diff.score |
compute edge score |
B |
Number of permutations (bootstraps) |
verbose |
TRUE/FALSE |
threads |
Number of cores to permutations over cores |
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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