calculate_block_values: Caclulate predicted block values based on block information...
In dcalderon/rolypoly: Identifying Trait-Relevant Functional Annotations
calculate_block_values R Documentation
Caclulate predicted block values based on block information and model fit.
Description
From a model fit we can predict expected variance of a block based on information
we have about the block. In the example of gene expression this would equate
to predicting the importance of a gene based on its signature of expression.
Usage
calculate_block_values(block_data, params)
Arguments
block_data
block_data
params
parameter fit
Value
returns block values
Examples
## Not run: calculate_gene_values(block_data, params)
dcalderon/rolypoly documentation built on July 3, 2022, 1:59 p.m.
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| calculate_block_values | R Documentation |
Caclulate predicted block values based on block information and model fit.
Description
From a model fit we can predict expected variance of a block based on information we have about the block. In the example of gene expression this would equate to predicting the importance of a gene based on its signature of expression.
Usage
calculate_block_values(block_data, params)
Arguments
block_data |
block_data |
params |
parameter fit |
Value
returns block values
Examples
## Not run: calculate_gene_values(block_data, params)
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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