atlasqtl-package: atlasqtl: an R package for variable selection in sparse...
In hruffieux/atlasqtl: Flexible sparse regression for hierarchically-related responses using annealed variational inference
atlasqtl-package R Documentation
atlasqtl: an R package for variable selection in sparse regression with hierarchically-related responses
Description
Flexible sparse regression for variable selection in large predictor and
response settings, based on a series of hierarchically-related spike-and-slab
submodels. The model is also tailored to the detection of hotspots, namely,
predictors associated with multiple responses, which it represents using a
global-local horseshoe specification. Inference uses closed-form variational
updates coupled with a simulated annealing algorithm to enhance exploration of
highly multimodal spaces. This software allows joint inference at large scale,
e.g., for molecular quantitative trait locus (QTL) studies, where the hotspots
are genetic variants regulating several molecular traits simultaneously.
See H. Ruffieux, A. C. Davison, J. Hager, J. Inshaw, B. Fairfax, S. Richardson,
and L. Bottolo. A global-local approach for detecting hotspots in multiple
response regression. The Annals of Applied Statistics, 14:905-928, 2020.
atlasqtl functions
atlasqtl, assign_bFDR, map_hyperprior_elicitation, print.atlasqtl, set_hyper, set_init, summary.atlasqtl.
hruffieux/atlasqtl documentation built on April 12, 2025, 12:54 p.m.
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| atlasqtl-package | R Documentation |
atlasqtl: an R package for variable selection in sparse regression with hierarchically-related responses
Description
Flexible sparse regression for variable selection in large predictor and response settings, based on a series of hierarchically-related spike-and-slab submodels. The model is also tailored to the detection of hotspots, namely, predictors associated with multiple responses, which it represents using a global-local horseshoe specification. Inference uses closed-form variational updates coupled with a simulated annealing algorithm to enhance exploration of highly multimodal spaces. This software allows joint inference at large scale, e.g., for molecular quantitative trait locus (QTL) studies, where the hotspots are genetic variants regulating several molecular traits simultaneously. See H. Ruffieux, A. C. Davison, J. Hager, J. Inshaw, B. Fairfax, S. Richardson, and L. Bottolo. A global-local approach for detecting hotspots in multiple response regression. The Annals of Applied Statistics, 14:905-928, 2020.
atlasqtl functions
atlasqtl, assign_bFDR, map_hyperprior_elicitation, print.atlasqtl, set_hyper, set_init, summary.atlasqtl.
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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