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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "mixqr" in publications use:'
type: software
license: MIT
title: 'mixqr: Extensible Finite Mixtures of Quantile and Expectile Regressions'
version: 0.2.0
abstract: 'An extensible expectation-maximization (EM) framework for finite mixtures
  of quantile regressions (clusterwise / mixture-of-experts quantile regression).
  A single EM substrate with an engine/extension contract carries a family of capabilities:
  the core free-weight mixture of Wu and Yao (2016) <https://doi.org/10.1016/j.csda.2014.04.014>
  -- a fast asymmetric-Laplace path and the nonparametric kernel-density EM with components
  constrained to have their tau-quantile equal to zero (Hall and Presnell 1999 device);
  expectile and M-quantile component-loss families (Newey and Powell 1987; Breckling
  and Chambers 1988); component-specific penalized variable selection (SCAD / adaptive-LASSO,
  the quantile analogue of Khalili and Chen 2007); and joint multi-quantile estimation
  with a shared latent classification and non-crossing component curves. Provides
  classification-aware standard errors (sparsity and stochastic-EM multiple imputation),
  multi-start estimation, component-count selection, and prediction. The companion
  package ''mixqrgate'' adds location-varying gating.'
authors:
- family-names: Venkitasubramanian
  given-names: Kailas
  email: kailasv@gmail.com
preferred-citation:
  type: manual
  title: 'mixqr: Extensible Finite Mixtures of Quantile and Expectile Regressions'
  authors:
  - family-names: Venkitasubramanian
    given-names: Kailas
    email: kailasv@gmail.com
  year: '2026'
  notes: R package version 0.2.0
  url: https://github.com/kvenkita/mixqr
repository: https://cran.r-universe.dev
repository-code: https://github.com/kvenkita/mixqr
commit: d9c629744b446cd9fd7717c6f140cc713180cba5
url: https://kvenkita.github.io/mixqr/
date-released: '2026-06-25'
contact:
- family-names: Venkitasubramanian
  given-names: Kailas
  email: kailasv@gmail.com