tsvd_of_C_with_names: Compute the TSVD of the regression coefficient
In junyangq/multiSnpnet: Fit a sparse reduced rank regression model on large-scale SNP data and multivariate responses
tsvd_of_C_with_names R Documentation
Compute the TSVD of the regression coefficient
Description
Compute the TSVD of the regression coefficient C and set colnames and rownames in the decomposed matrices.
Usage
tsvd_of_C_with_names(fit_obj, component_prefix = "Component", rank = NULL)
Arguments
fit_obj
A named list containing the results of the multisnpnet results.
component_prefix
A string used as a prefix for the column names corresponding to the latent variables
rank
Desired rank of the decomposed matrices
junyangq/multiSnpnet documentation built on Oct. 19, 2023, 8:22 p.m.
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| tsvd_of_C_with_names | R Documentation |
Compute the TSVD of the regression coefficient
Description
Compute the TSVD of the regression coefficient C and set colnames and rownames in the decomposed matrices.
Usage
tsvd_of_C_with_names(fit_obj, component_prefix = "Component", rank = NULL)
Arguments
fit_obj |
A named list containing the results of the multisnpnet results. |
component_prefix |
A string used as a prefix for the column names corresponding to the latent variables |
rank |
Desired rank of the decomposed matrices |
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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