gomms: GLM-Based Ordination Method for Microbiome Samples
In gomms: GLM-Based Ordination Method
Description
Usage
Arguments
Value
Author(s)
References
Description
estimate factor loadings and scores.
Usage
1
Arguments
X
raw count data.
n.factors
number of factors. Default value is 2.
min.prop.nonzeros
minimum proportion of nonzeros allowed in analysis.
show.max.delta
display the maximum different between jth and (j+1)th iterations.
Value
estimated factor scores.
Author(s)
Michael B. Sohn
Maintainer: Michael B. Sohn <msohn@mail.med.upenn.edu>
References
Sohn, M.B. and Li, H. (2017). A GLM-Based Latent Variable Ordination Method for Microbiome Samples (Submitted).
gomms documentation built on May 2, 2019, 11:01 a.m.
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Description Usage Arguments Value Author(s) References
Description
estimate factor loadings and scores.
Usage
1 |
Arguments
X |
raw count data. |
n.factors |
number of factors. Default value is 2. |
min.prop.nonzeros |
minimum proportion of nonzeros allowed in analysis. |
show.max.delta |
display the maximum different between jth and (j+1)th iterations. |
Value
estimated factor scores.
Author(s)
Michael B. Sohn
Maintainer: Michael B. Sohn <msohn@mail.med.upenn.edu>
References
Sohn, M.B. and Li, H. (2017). A GLM-Based Latent Variable Ordination Method for Microbiome Samples (Submitted).
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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