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Releases: stephenslab/susieR

susieR version 0.14.2 released on CRAN

05 Jun 13:59

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v0.14.2

susieR version 0.14.2 released on CRAN.

susieR version 0.12.35 released on CRAN

18 Feb 15:50

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Removes the L0Learn dependency since it was no longer available on CRAN.

susieR version 0.12.27 released on CRAN

06 Sep 16:07

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v0.12.27

susieR version 0.12.27 released on CRAN.

susieR 0.12.16 released on CRAN (June 27, 2022)

28 Jun 02:08

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v0.12.16

susieR version 0.12.16.

susieR 0.11.92 released on CRAN (November 12, 2021)

12 Nov 20:06

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v0.11.92

susieR version 0.11.92

susieR 0.11.84 released on CRAN (November 10, 2021)

10 Nov 20:26

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v0.11.84

susieR version 0.11.84

susieR release published on CRAN (June 2, 2021)

02 Jun 14:03

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v0.11.33

susieR version 0.11.33

Version 0.9.0

15 Jan 00:57

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Version 0.9.0 Pre-release
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This version has some interface changes and minor improvements:

  • susie_bhat and susie_ss are now merged to susie_suff_stat
  • Additional input check and preprocessing options are implemented to susie_rss
  • Add a method simple to estimate_prior_method that simply compares specified prior variance with zero and set it to zero if the latter has higher loglikelihood.

Version 0.8.0

15 Apr 19:41

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Version 0.8.0 Pre-release
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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:

  1. var_y is now replaced by yty in susie_ss
  2. susie_z is now replaced by susie_rss using the new RSS model
  3. 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 of X
  4. Add interface to access posterior quantities #84
  5. Unify X data object for dense and sparse matrices

(Credits goes to @zouyuxin for 1-4 and @KaiqianZhang for 5)

Version 0.7.1

11 Mar 18:03
775e3ea

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Version 0.7.1 Pre-release
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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.