ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

CRAN Package

The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", doi:10.1093/biostatistics/kxw041. These methods can be applied whenever two sets of summary statistics—estimated effects and standard errors—are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users. The ash() and ash.workhorse() also provides a flexible modeling interface that can accommodate a variety of likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal).

  • Version2.2-63
  • R versionunknown
  • LicenseGPL (≥ 3)
  • Needs compilation?Yes
  • Last release08/21/2023

Documentation


Team


Insights

Last 30 days

This package has been downloaded 3,953 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 174 times.

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0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
160 downloadsFeb 12, 2025
178 downloadsFeb 13, 2025
146 downloadsFeb 14, 2025
50 downloadsFeb 15, 2025
85 downloadsFeb 16, 2025
173 downloadsFeb 17, 2025
162 downloadsFeb 18, 2025
134 downloadsFeb 19, 2025
176 downloadsFeb 20, 2025
115 downloadsFeb 21, 2025
54 downloadsFeb 22, 2025
60 downloadsFeb 23, 2025
128 downloadsFeb 24, 2025
99 downloadsFeb 25, 2025
150 downloadsFeb 26, 2025
197 downloadsFeb 27, 2025
97 downloadsFeb 28, 2025
48 downloadsMar 1, 2025
63 downloadsMar 2, 2025
115 downloadsMar 3, 2025
170 downloadsMar 4, 2025
176 downloadsMar 5, 2025
186 downloadsMar 6, 2025
130 downloadsMar 7, 2025
86 downloadsMar 8, 2025
86 downloadsMar 9, 2025
150 downloadsMar 10, 2025
184 downloadsMar 11, 2025
221 downloadsMar 12, 2025
174 downloadsMar 13, 2025
0 downloadsMar 14, 2025
0 downloadsMar 15, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 44,447 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Jan 10, 2025 with 442 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports7 packages
  • Suggests5 packages
  • Linking To1 package
  • Reverse Depends1 package
  • Reverse Imports5 packages
  • Reverse Suggests3 packages