The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite the mixqr package in publications, use:
Venkitasubramanian K (2026). mixqr: Extensible Finite Mixtures of Quantile and Expectile Regressions. R package version 0.2.0, https://github.com/kvenkita/mixqr.
The methodology builds on the mixture-of-quantile-regressions estimator of Wu & Yao (2016) and the check-loss / asymmetric Laplace quantile-regression framework (Koenker & Bassett 1978; Yu & Moyeed 2001); please cite those works where appropriate.
Corresponding BibTeX entry:
@Manual{,
title = {{mixqr}: Extensible Finite Mixtures of Quantile and
Expectile Regressions},
author = {Kailas Venkitasubramanian},
year = {2026},
note = {R package version 0.2.0},
url = {https://github.com/kvenkita/mixqr},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.