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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "emBayes" in publications use:'
type: software
license: GPL-2.0-only
title: 'emBayes: Robust Bayesian Variable Selection via Expectation-Maximization'
version: 0.1.6
doi: 10.32614/CRAN.package.emBayes
abstract: Variable selection methods have been extensively developed for analyzing
  highdimensional omics data within both the frequentist and Bayesian frameworks.
  This package provides implementations of the spike-and-slab quantile (group) LASSO
  which have been developed along the line of Bayesian hierarchical models but deeply
  rooted in frequentist regularization methods by utilizing Expectation–Maximization
  (EM) algorithm. The spike-and-slab quantile LASSO can handle data irregularity in
  terms of skewness and outliers in response variables, compared to its non-robust
  alternative, the spike-and-slab LASSO, which has also been implemented in the package.
  In addition, procedures for fitting the spike-and-slab quantile group LASSO and
  its non-robust counterpart have been implemented in the form of quantile/least-square
  varying coefficient mixed effect models for high-dimensional longitudinal data.
  The core module of this package is developed in 'C++'.
authors:
- family-names: Liu
  given-names: Yuwen
  email: yuwenliu9@gmail.com
- family-names: Wu
  given-names: Cen
repository: https://yuwen-l.r-universe.dev
commit: 98ef0812da2bef0674f171fb26de36714b6e36d0
date-released: '2024-08-26'
contact:
- family-names: Liu
  given-names: Yuwen
  email: yuwenliu9@gmail.com