it.sol: it.sol
In gevaertlab/AMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
View source: R/amaretto_preprocess.R
it.sol R Documentation
it.sol
Description
Pass in entire data set, the design matrix for the entire data, the batch means, the batch variances, priors (m, t2, a, b), columns of the data matrix for the batch. Uses the EM to find the parametric batch adjustments
Usage
it.sol(sdat, g.hat, d.hat, g.bar, t2, a, b, conv = 1e-04)
Value
result
gevaertlab/AMARETTO documentation built on April 6, 2023, 2:43 p.m.
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View source: R/amaretto_preprocess.R
| it.sol | R Documentation |
it.sol
Description
Pass in entire data set, the design matrix for the entire data, the batch means, the batch variances, priors (m, t2, a, b), columns of the data matrix for the batch. Uses the EM to find the parametric batch adjustments
Usage
it.sol(sdat, g.hat, d.hat, g.bar, t2, a, b, conv = 1e-04)
Value
result
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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