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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 lphom in publications use:
Pavía J, Romero R (2022). “Improving estimates accuracy of voter transitions. Two new algorithms for ecological inference based on linear programming.” Sociological Methods & Research. doi:10.1177/00491241221092725.
Pavía J, Romero R (2024). “Symmetry estimating R×C vote transfer matrices from aggregate data.” Journal of the Royal Statistical Society, Series A – Statistics in Society. doi:10.1093/jrsssa/qnae013.
Romero R, Pavía J, Martín J, Romero G (2020). “Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential election.” Journal of Applied Statistics, 47(13-15), 2711–2736. doi:10.1080/02664763.2020.1804842.
Corresponding BibTeX entries:
@Article{, title = {Improving estimates accuracy of voter transitions. Two new algorithms for ecological inference based on linear programming}, author = {Jose M. Pavía and Rafael Romero}, journal = {Sociological Methods & Research}, year = {2022}, doi = {10.1177/00491241221092725}, }
@Article{, title = {Symmetry estimating R×C vote transfer matrices from aggregate data}, author = {Jose M. Pavía and Rafael Romero}, journal = {Journal of the Royal Statistical Society, Series A – Statistics in Society}, year = {2024}, doi = {10.1093/jrsssa/qnae013}, }
@Article{, title = {Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential election}, author = {Rafael Romero and Jose M. Pavía and Jorge Martín and Gerardo Romero}, journal = {Journal of Applied Statistics}, year = {2020}, volume = {47}, number = {13-15}, pages = {2711--2736}, doi = {10.1080/02664763.2020.1804842}, }
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.