To cite the 'projpred' R package:
Piironen J, Paasiniemi M, Catalina A, Weber F, Vehtari A (2022). “projpred: Projection Predictive Feature Selection.” R package version 2.1.1, https://mc-stan.org/projpred/.
To cite the 'projpred' comparison paper:
Piironen J, Vehtari A (2017). “Comparison of Bayesian predictive methods for model selection.” Statistics and Computing, 27, 711-735. doi: 10.1007/s11222-016-9649-y.
To cite the 'projpred' GLM paper:
Piironen J, Paasiniemi M, Vehtari A (2020). “Projective inference in high-dimensional problems: Prediction and feature selection.” Electronic Journal of Statistics, 14, 2155-2197. doi: 10.1214/20-EJS1711.
To cite the 'projpred' GLMMs and GAMMs paper:
Catalina A, Bürkner P, Vehtari A (2020). “Projection predictive inference for generalized linear and additive multilevel models.” arXiv:2010.06994, https://arxiv.org/abs/2010.06994.
Corresponding BibTeX entries:
@Misc{,
title = {{projpred}: Projection Predictive Feature Selection},
author = {Juho Piironen and Markus Paasiniemi and Alejandro
Catalina and Frank Weber and Aki Vehtari},
year = {2022},
note = {R package version 2.1.1},
url = {https://mc-stan.org/projpred/},
encoding = {UTF-8},
}
@Article{,
title = {Comparison of Bayesian predictive methods for model
selection},
author = {Juho Piironen and Aki Vehtari},
year = {2017},
journal = {Statistics and Computing},
volume = {27},
issue = {3},
pages = {711-735},
doi = {10.1007/s11222-016-9649-y},
}
@Article{,
title = {Projective inference in high-dimensional problems:
Prediction and feature selection},
author = {Juho Piironen and Markus Paasiniemi and Aki Vehtari},
year = {2020},
journal = {Electronic Journal of Statistics},
volume = {14},
issue = {1},
pages = {2155-2197},
doi = {10.1214/20-EJS1711},
}
@Unpublished{,
title = {Projection predictive inference for generalized linear and
additive multilevel models},
author = {Alejandro Catalina and Paul-Christian Bürkner and Aki
Vehtari},
year = {2020},
note = {arXiv:2010.06994},
url = {https://arxiv.org/abs/2010.06994},
encoding = {UTF-8},
}