Recent Releases of susieR
susieR - susieR version 0.12.35 released on CRAN
Removes the L0Learn dependency since it was no longer available on CRAN.
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Published by pcarbo about 3 years ago
susieR - susieR 0.11.92 released on CRAN (November 12, 2021)
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Published by pcarbo over 4 years ago
susieR - susieR 0.11.84 released on CRAN (November 10, 2021)
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Published by pcarbo over 4 years ago
susieR - Version 0.9.0
This version has some interface changes and minor improvements:
susie_bhatandsusie_ssare now merged tosusie_suff_stat- Additional input check and preprocessing options are implemented to
susie_rss - Add a method
simpletoestimate_prior_methodthat simply compares specified prior variance with zero and set it to zero if the latter has higher loglikelihood.
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Published by gaow about 6 years ago
susieR - Version 0.8.0
This version improves the sufficient statistics interface susie_ss and susie_bhat, and introduces a new model susie_rss for summary statistics version of SuSiE using RSS model. Specifically:
var_yis now replaced byytyinsusie_sssusie_zis now replaced bysusie_rssusing the new RSS model- Various checks for input covariance / correlation matrix of
X, and for input summary statistics, to ensure they are in the space spanned by non-zero eigenvectors of covariance / correlation matrix ofX - Add interface to access posterior quantities #84
- Unify
Xdata object for dense and sparse matrices
(Credits goes to @zouyuxin for 1-4 and @KaiqianZhang for 5)
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Published by gaow almost 7 years ago
susieR - Version 0.7.1
This release is a patch to 0.7.0 that performs filtering by default with susie_get_CS function for effects with estimated V=0.
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Published by gaow almost 7 years ago
susieR - Version 0.7.0
We have improved procedure to estimate prior variance and have set estimate_prior_effect = TRUE by default. Versions prior to 0.7.0 should give similar results if this option is explicitly specified; otherwise analysis using earlier version will likely produce different results from this version. It is suggested that users upgrade to this version, and add estimate_prior_effect = FALSE to susie() function call if it is desired to preserve previous behavior when the prior variance is fixed.
Credit to @KaiqianZhang who did most of the work and assessment to make it happen.
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Published by gaow almost 7 years ago