_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-ebnm 1.1-2
Propagated dependencies: r-trust@0.1-8 r-truncnorm@1.0-9 r-rlang@1.1.6 r-mixsqp@0.3-54 r-magrittr@2.0.3 r-horseshoe@0.2.0 r-ggplot2@3.5.2 r-dplyr@1.1.4 r-deconvolver@1.2-1 r-ashr@2.2-63
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/stephenslab/ebnm
Licenses: GPL 3+
Synopsis: Solve the Empirical Bayes Normal Means Problem
Description:

This package provides simple, fast, and stable functions to fit the normal means model using empirical Bayes. For available models and details, see function ebnm(). A detailed introduction to the package is provided by Willwerscheid and Stephens (2021) <arXiv:2110.00152>.

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