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ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

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  1. Henry T. Hsueh & Renee Ti Chou & Usha Rai & Wathsala Liyanage & Yoo Chun Kim & Matthew B. Appell & Jahnavi Pejavar & Kirby T. Leo & Charlotte Davison & Patricia Kolodziejski & Ann Mozzer & HyeYoung Kw, 2023. "Machine learning-driven multifunctional peptide engineering for sustained ocular drug delivery," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  2. László Pásztor & Katalin Takács & János Mészáros & Gábor Szatmári & Mátyás Árvai & Tibor Tóth & Gyöngyi Barna & Sándor Koós & Zsófia Adrienn Kovács & Péter László & Kitti Balog, 2023. "Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery," Land, MDPI, vol. 12(8), pages 1-23, July.
  3. Fogliato Riccardo & Oliveira Natalia L. & Yurko Ronald, 2021. "TRAP: a predictive framework for the Assessment of Performance in Trail Running," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 129-143, June.
  4. Backer, David & Billing, Trey, 2024. "Forecasting the prevalence of child acute malnutrition using environmental and conflict conditions as leading indicators," World Development, Elsevier, vol. 176(C).
  5. Edward J Gregr & Dana R Haggarty & Sarah C Davies & Cole Fields & Joanne Lessard, 2021. "Comprehensive marine substrate classification applied to Canada’s Pacific shelf," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-28, October.
  6. Daniel Baier & Björn Stöcker, 2022. "Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops," Journal of Business Economics, Springer, vol. 92(4), pages 645-673, May.
  7. Hapfelmeier, Alexander & Hornung, Roman & Haller, Bernhard, 2023. "Efficient permutation testing of variable importance measures by the example of random forests," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
  8. Mohnen Sigrid M. & Rotteveel Adriënne H. & Doornbos Gerda & Polder Johan J., 2020. "Healthcare Expenditure Prediction with Neighbourhood Variables – A Random Forest Model," Statistics, Politics and Policy, De Gruyter, vol. 11(2), pages 111-138, December.
  9. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(21), pages 1-61, October.
  10. Roman Hornung, 2020. "Ordinal Forests," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 4-17, April.
  11. Mariana Oliveira & Luís Torgo & Vítor Santos Costa, 2021. "Evaluation Procedures for Forecasting with Spatiotemporal Data," Mathematics, MDPI, vol. 9(6), pages 1-27, March.
  12. Elliot Beck & Damian Kozbur & Michael Wolf, 2023. "Hedging Forecast Combinations With an Application to the Random Forest," Papers 2308.15384, arXiv.org, revised Aug 2023.
  13. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(18), pages 1-51, September.
  14. Nicole Ellenbach & Anne-Laure Boulesteix & Bernd Bischl & Kristian Unger & Roman Hornung, 2021. "Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 212-231, July.
  15. Bommert, Andrea & Sun, Xudong & Bischl, Bernd & Rahnenführer, Jörg & Lang, Michel, 2020. "Benchmark for filter methods for feature selection in high-dimensional classification data," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
  16. Anna Gogleva & Dimitris Polychronopoulos & Matthias Pfeifer & Vladimir Poroshin & Michaël Ughetto & Matthew J. Martin & Hannah Thorpe & Aurelie Bornot & Paul D. Smith & Ben Sidders & Jonathan R. Dry &, 2022. "Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  17. Chakravorty, Bhaskar & Arulampalam, Wiji & Bhatiya, Apurav Yash & Imbert, Clément & Rathelot, Roland, 2024. "Can information about jobs improve the effectiveness of vocational training? Experimental evidence from India," Journal of Development Economics, Elsevier, vol. 169(C).
  18. Feuerhake, Jörg & Lange, Kerstin & Siegismund, Annelen & Vigneau, Elsa, 2020. "Kodierung des Geburtsstaats in der Wanderungsstatistik: Ein Vergleich regelbasierter Signierung mit Verfahren des maschinellen Lernens," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 72(3), pages 98-110.
  19. Ma, Shaohui & Fildes, Robert, 2021. "Retail sales forecasting with meta-learning," European Journal of Operational Research, Elsevier, vol. 288(1), pages 111-128.
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  24. Yuanyuan Shi & Junyu Zhao & Xianchong Song & Zuoyu Qin & Lichao Wu & Huili Wang & Jian Tang, 2021. "Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.
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  35. Joel Podgorski & Oliver Kracht & Luis Araguas-Araguas & Stefan Terzer-Wassmuth & Jodie Miller & Ralf Straub & Rolf Kipfer & Michael Berg, 2024. "Groundwater vulnerability to pollution in Africa’s Sahel region," Nature Sustainability, Nature, vol. 7(5), pages 558-567, May.
  36. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
  37. Andree,Bo Pieter Johannes & Chamorro Elizondo,Andres Fernando & Kraay,Aart C. & Spencer,Phoebe Girouard & Wang,Dieter, 2020. "Predicting Food Crises," Policy Research Working Paper Series 9412, The World Bank.
  38. Urfels, Anton & Mausch, Kai & Harris, Dave & McDonald, Andrew J. & Kishore, Avinash & Balwinder-Singh, & van Halsema, Gerardo & Struik, Paul C. & Craufurd, Peter & Foster, Timothy & Singh, Vartika & K, 2023. "Farm size limits agriculture's poverty reduction potential in Eastern India even with irrigation-led intensification," Agricultural Systems, Elsevier, vol. 207(C).
  39. Patrick José Jeetze & Isabelle Weindl & Justin Andrew Johnson & Pasquale Borrelli & Panos Panagos & Edna J. Molina Bacca & Kristine Karstens & Florian Humpenöder & Jan Philipp Dietrich & Sara Minoli &, 2023. "Projected landscape-scale repercussions of global action for climate and biodiversity protection," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  40. Helmut Wasserbacher & Martin Spindler, 2024. "Credit Ratings: Heterogeneous Effect on Capital Structure," Papers 2406.18936, arXiv.org.
  41. Irene A. Abela & Chloé Pasin & Magdalena Schwarzmüller & Selina Epp & Michèle E. Sickmann & Merle M. Schanz & Peter Rusert & Jacqueline Weber & Stefan Schmutz & Annette Audigé & Liridona Maliqi & Anni, 2021. "Multifactorial seroprofiling dissects the contribution of pre-existing human coronaviruses responses to SARS-CoV-2 immunity," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
  42. Enrica, Garau & Josep, Pueyo-Ros & Amanda, Jiménez-Aceituno & Garry, Peterson & Albert, Norström & Anna, Ribas Palom & Josep, Vila-Subirós, 2023. "Landscape features shape people’s perception of ecosystem service supply areas," Ecosystem Services, Elsevier, vol. 64(C).
  43. Yadid M. Algavi & Elhanan Borenstein, 2023. "A data-driven approach for predicting the impact of drugs on the human microbiome," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  44. Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022. "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers 964, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  45. Kouame, Anselme K.K. & Bindraban, Prem S. & Kissiedu, Isaac N. & Atakora, Williams K. & El Mejahed, Khalil, 2023. "Identifying drivers for variability in maize (Zea mays L.) yield in Ghana: A meta-regression approach," Agricultural Systems, Elsevier, vol. 209(C).
  46. Gregor De Cillia & Richard Heuberger & Catherine Prettner, 2021. "Einkommens- und Vermögensverteilung in Österreich - ein experimentelles Datenmatching von EU-SILC und HFCS," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 209, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
  47. Arjan S. Gosal & Janine A. McMahon & Katharine M. Bowgen & Catherine H. Hoppe & Guy Ziv, 2021. "Identifying and Mapping Groups of Protected Area Visitors by Environmental Awareness," Land, MDPI, vol. 10(6), pages 1-14, May.
  48. Freund, Fabian & Siri-Jégousse, Arno, 2021. "The impact of genetic diversity statistics on model selection between coalescents," Computational Statistics & Data Analysis, Elsevier, vol. 156(C).
  49. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 20(1), pages 1-35, December.
  50. Anton M. Potapov & Carlos A. Guerra & Johan Hoogen & Anatoly Babenko & Bruno C. Bellini & Matty P. Berg & Steven L. Chown & Louis Deharveng & Ľubomír Kováč & Natalia A. Kuznetsova & Jean-François Pong, 2023. "Globally invariant metabolism but density-diversity mismatch in springtails," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  51. Vanessa Ress & Eva‐Maria Wild, 2024. "The impact of integrated care on health care utilization and costs in a socially deprived urban area in Germany: A difference‐in‐differences approach within an event‐study framework," Health Economics, John Wiley & Sons, Ltd., vol. 33(2), pages 229-247, February.
  52. Yadid M. Algavi & Elhanan Borenstein, 2024. "Relative dispersion ratios following fecal microbiota transplant elucidate principles governing microbial migration dynamics," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  53. Michael Parzinger & Lucia Hanfstaengl & Ferdinand Sigg & Uli Spindler & Ulrich Wellisch & Markus Wirnsberger, 2020. "Residual Analysis of Predictive Modelling Data for Automated Fault Detection in Building’s Heating, Ventilation and Air Conditioning Systems," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
  54. Laura Felber & Dr. Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.
  55. Ma, Shaohui & Fildes, Robert, 2020. "Forecasting third-party mobile payments with implications for customer flow prediction," International Journal of Forecasting, Elsevier, vol. 36(3), pages 739-760.
  56. Nicholas Williams & Michael Rosenblum & Iván Díaz, 2022. "Optimising precision and power by machine learning in randomised trials with ordinal and time‐to‐event outcomes with an application to COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2156-2178, October.
  57. Mária Barančoková & Matej Šošovička & Peter Barančok & Peter Barančok, 2021. "Predictive Modelling of Landslide Susceptibility in the Western Carpathian Flysch Zone," Land, MDPI, vol. 10(12), pages 1-28, December.
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