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# CITATION.cff 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 "mixqrgate" in publications use:'
type: software
license: MIT
title: 'mixqrgate: Location-Varying Gating for Mixtures of Quantile Regressions'
version: 0.1.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mixqrgate
abstract: Extends finite mixtures of quantile regressions (the 'mixqr' package) with
  a concomitant-covariate, quantile-indexed mixing gate. The mixing probabilities
  follow a multinomial-logit model whose coefficients may depend on a separate set
  of gating covariates and on the quantile level, so that latent-class membership
  can change across the conditional distribution. This turns the location-varying
  mixing idea of Furno (2025) into a likelihood and EM object with proper standard
  errors on the gate. Estimation reuses the 'mixqr' component and error-density machinery;
  the gate is fit by a weighted multinomial-logistic M-step and reduces exactly to
  a constant gate when the gating model is an intercept only.
authors:
- family-names: Venkitasubramanian
  given-names: Kailas
  email: kailasv@gmail.com
preferred-citation:
  type: manual
  title: 'mixqrgate: Location-Varying Gating for Mixtures of Quantile Regressions'
  authors:
  - family-names: Venkitasubramanian
    given-names: Kailas
    email: kailasv@gmail.com
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/kvenkita/mixqrgate
repository: https://kvenkita.r-universe.dev
repository-code: https://github.com/kvenkita/mixqrgate
commit: 59166399d4ccf09c14867c5854b0995dafece4ba
url: https://github.com/kvenkita/mixqrgate
date-released: '2026-07-07'
contact:
- family-names: Venkitasubramanian
  given-names: Kailas
  email: kailasv@gmail.com