locus-package: locus: a package for combined predictor and outcome selection...
In hruffieux/locus: Large-Scale Variational Inference for Combined Selection of Covariate and Response Variables in Regression Models
locus-package R Documentation
locus: a package for combined predictor and outcome selection in
high-dimensional set-ups using variational inference
Description
The locus package provides an efficient variational algorithm for
simultaneous variable selection of predictors and associated outcomes based
on a sparse multivariate regression model (H. Ruffieux, A. C. Davison,
J. Hager, I. Irincheeva, Efficient inference for genetic association studies
with multiple outcomes, Biostatistics, 2017). The methods from this package
have been used on large genetic datasets from molecular quantitative trait
locus (QTL) problems with over 200K single nucleotide polymorphisms (SNPs),
hundreds of molecular expression levels and hundreds of samples.
locus functions
set_hyper, set_init, locus, set_blocks, set_cv,
set_groups, set_struct.
hruffieux/locus documentation built on Jan. 10, 2024, 10:07 p.m.
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| locus-package | R Documentation |
locus: a package for combined predictor and outcome selection in high-dimensional set-ups using variational inference
Description
The locus package provides an efficient variational algorithm for simultaneous variable selection of predictors and associated outcomes based on a sparse multivariate regression model (H. Ruffieux, A. C. Davison, J. Hager, I. Irincheeva, Efficient inference for genetic association studies with multiple outcomes, Biostatistics, 2017). The methods from this package have been used on large genetic datasets from molecular quantitative trait locus (QTL) problems with over 200K single nucleotide polymorphisms (SNPs), hundreds of molecular expression levels and hundreds of samples.
locus functions
set_hyper, set_init, locus, set_blocks, set_cv, set_groups, set_struct.
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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