Location-Varying Gating for Mixtures of Quantile Regressions R package mixqrgate version 0.1.2 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. Software Depends: R (>= 4.1) Imports: mixqr (>= 0.1.1), stats, graphics Suggests: nnet, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown Kailas Venkitasubramanian <kailasv@gmail.com> Comprehensive R Archive Network (CRAN) Kailas Venkitasubramanian [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=mixqrgate/LICENSE) 2026-07-16 application/tgz https://CRAN.R-project.org/package=mixqrgate doi:10.32614/CRAN.package.mixqrgate