Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: quantregForest

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/quantregForest

Quantile Regression Forests
12 versions
Latest release: almost 7 years ago
10 dependent packages
1,030 downloads last month

Papers Mentioning quantregForest 7

10.3390/e22050545

Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case
Cited by: 3
Author(s): Michał Gostkowski, Krzysztof Gajowniczek
Software Mentions: 4
Published: over 4 years ago

10.1038/s41597-019-0345-6

Depth-to-bedrock map of China at a spatial resolution of 100 meters
Cited by: 38
Author(s): Fapeng Yan, Wei Shangguan, Jing Zhang, Bifeng Hu
Software Mentions: 4
Published: almost 5 years ago

10.1371/journal.pntd.0009091

Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
Cited by: 4
Author(s): Obiora A. Eneanya, Benjamin G. Koudou, Aboulaye Meïté, Aba Ange Elvis, Yeo Souleymane, Marie-Madeleine Kouakou, Gary J. Weil, Peter Fischer
Software Mentions: 4
Published: almost 4 years ago

10.1186/s13071-019-3682-6

Mapping the baseline prevalence of lymphatic filariasis across Nigeria
Cited by: 10
Author(s): Obiora A. Eneanya, Claudio Fronterrè, Ifeoma Anagbogu, Chukwu Okoronkwo, Tini Garske, Jorge Cano, Christl A. Donnelly
Software Mentions: 2
Published: about 5 years ago

10.1371/journal.pone.0142502

Towards Quantitative Spatial Models of Seabed Sediment Composition
Cited by: 50
Author(s): David Stephens, Markus Diesing
Software Mentions: 2
Published: almost 9 years ago

10.1371/journal.pone.0241725

A stacked ensemble method for forecasting influenza-like illness visit volumes at emergency departments
Cited by: 5
Author(s): Arthur Novaes de Amorim, Rob Deardon, Vipin Saini
Software Mentions: 1
Published: over 3 years ago

10.1186/s12913-020-05936-6

Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach
Cited by: 8
Author(s): Liangyuan Hu, Lihua Li, Jiayi Ji, Mark Sanderson
Software Mentions: 1
Published: almost 4 years ago