jacFeatures: Evaluate the jacobian for estimating the feature parameters...
In combi: Compositional omics model based visual integration
Description
Usage
Arguments
Value
Description
Evaluate the jacobian for estimating the feature parameters for one view
Usage
1
2
3
jacFeatures(latentVars, data, distribution, paramEsts, meanVarTrend,
offSet, compositional, indepModel, m, paramEstsLower, allowMissingness,
...)
Arguments
latentVars
A vector of latent variables
data
A list of data matrices
distribution, compositional, meanVarTrend, offSet, paramEsts, paramEstsLower, indepModel
Characteristics of each view
m
dimension
allowMissingness
a boolean, are missing values allowed?
...
Additional arguments passed on to the score and jacobian functions
Value
The jacobian matrix
combi documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value
Description
Evaluate the jacobian for estimating the feature parameters for one view
Usage
1 2 3 | jacFeatures(latentVars, data, distribution, paramEsts, meanVarTrend,
offSet, compositional, indepModel, m, paramEstsLower, allowMissingness,
...)
|
Arguments
latentVars |
A vector of latent variables |
data |
A list of data matrices |
distribution, compositional, meanVarTrend, offSet, paramEsts, paramEstsLower, indepModel |
Characteristics of each view |
m |
dimension |
allowMissingness |
a boolean, are missing values allowed? |
... |
Additional arguments passed on to the score and jacobian functions |
Value
The jacobian matrix
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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