CRAN: stops citation info (original) (raw)

Rusch T, Mair P (2025).stops: Structure Optimized Proximity Scaling.doi:10.32614/CRAN.package.stops, R package version 1.9-1, https://CRAN.R-project.org/package=stops.

If stops() or c-structuredness indices are used, please cite:

Rusch T, Mair P, Hornik K (2023). “Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling.”Statistics and Computing, 33(28), 1-18.doi:10.1007/s11222-022-10197-w.

If powerStressMin() is used, please cite:

de Leeuw J, Groenen P, Mair P (2016). “Minimizing rstress using nested majorization.” UCLA.https://rpubs.com/deleeuw/142619.

If bcStressMin() is used, please cite:

Chen L, Buja A (2013). “Stress functions for nonlinear dimension reduction, proximity analysis, and graph drawing.”Journal of Machine Learning Research, 14, 1145-1173.

If lmds() is used, please cite:

Chen L, Buja A (2009). “Local multidimensional scaling for nonlinear dimension reduction, graph drawing, and proximity analysis.”Journal of the American Statistical Association, 104, 209-219.

Corresponding BibTeX entries:

@Manual{, title = {stops: Structure Optimized Proximity Scaling}, author = {Thomas Rusch and Patrick Mair}, year = {2025}, note = {R package version 1.9-1}, url = {https://CRAN.R-project.org/package=stops}, doi = {10.32614/CRAN.package.stops}, }

@Article{, author = {Thomas Rusch and Patrick Mair and Kurt Hornik}, title = {Structure-based hyperparameter selection with {B}ayesian optimization in multidimensional scaling}, journal = {Statistics and Computing}, year = {2023}, volume = {33}, number = {28}, pages = {1-18}, doi = {10.1007/s11222-022-10197-w}, }

@TechReport{, author = {Jan {de Leeuw} and Patrick Groenen and Patrick Mair}, title = {Minimizing rstress using nested majorization}, year = {2016}, url = {https://rpubs.com/deleeuw/142619}, institution = {UCLA}, }

@Article{, author = {Lisha Chen and Andreas Buja}, title = {Stress functions for nonlinear dimension reduction, proximity analysis, and graph drawing.}, journal = {Journal of Machine Learning Research}, year = {2013}, volume = {14}, pages = {1145-1173}, }

@Article{, author = {Lisha Chen and Andreas Buja}, title = {Local multidimensional scaling for nonlinear dimension reduction, graph drawing, and proximity analysis.}, journal = {Journal of the American Statistical Association}, year = {2009}, volume = {104}, pages = {209-219}, year = {2009}, }