Companion datasets for "A random forest approach for interval selection in functional regression"

DOI

Companion datasets for the article "A random forest approach for interval selection in functional regression". This dataverse contains:

simulated data, obtained from simulated meteorological data (WACSGen) and simulated agronomic data (STICS); real data, on truffle production.

The dataverse contains raw and processed data as well as all the scripts that were used to process the original raw data.

R, 4.0.3

Identifier
DOI https://doi.org/10.57745/KMH2GP
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/KMH2GP
Provenance
Creator Vialaneix, Nathalie ORCID logo; Servien, Rémi ORCID logo
Publisher Recherche Data Gouv
Contributor Vialaneix, Nathalie; Institut national de recherche pour l'agriculture, l'alimentation et l'environnement; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference INRAE, DIGIT-BIO PhenoDyn
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Vialaneix, Nathalie (INRAE)
Representation
Resource Type Dataset
Format text/html; text/tab-separated-values; application/x-r-data; application/octet-stream; application/zip
Size 1162896; 22844; 2190; 2917; 1334; 1138; 35060; 20094150; 86691205; 993342; 1793830; 1493540
Version 2.1
Discipline Agriculture, Forestry, Horticulture; Mathematics; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences