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 2.2.0, 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 2.2.0}, 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@Unpublished{, title = {Projection predictive inference for generalized linear and additive multilevel models}, author = {Alejandro Catalina and Paul-Christian Bürkner and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}, }