Tools to download, load, plot, and analyze eBird Status and
Trends Data Products
(<https://science.ebird.org/en/status-and-trends>). eBird
(<https://ebird.org/home>) is a global database of bird observations
collected by member of the public. eBird Status and Trends uses these
data to model global bird abundances, range boundaries, and habitat
associations at a high spatial and temporal resolution.

Ensemble-Based Methods for Class Imbalance Problem
Four ensemble-based methods (SMOTEBoost, RUSBoost, UnderBagging, and SMOTEBagging) for class imbalance problem are implemented for binary classification. Such methods adopt ensemble methods and data re-sampling techniques to improve model performance in presence of class imbalance problem. One special feature offers the possibility to choose multiple supervised learning algorithms to build weak learners within ensemble models. References: Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, and Kevin W. Bowyer (2003) <doi:10.1007/978-3-540-39804-2_12>, Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, and Amri Napolitano (2010) <doi:10.1109/TSMCA.2009.2029559>, R. Barandela, J. S. Sanchez, R. M. Valdovinos (2003) <doi:10.1007/s10044-003-0192-z>, Shuo Wang and Xin Yao (2009) <doi:10.1109/CIDM.2009.4938667>, Yoav Freund and Robert E. Schapire (1997) <doi:10.1006/jcss.1997.1504>.
e1071, rpart, C50, randomForest, DMwR, pROC

e1071, rpart, C50, randomForest, pROC, smotefamily

c(person(given = "Rui",
family = "Costa",
role = c("aut", "cre"),
email = "rui.costa@ebi.ac.uk"),
person(given = "Moritz",
family = "Gerstung",
role = "aut"),
person(given = c("Terry", "M"),
family = "Therneau",
role = "ctb",comment="author of
'survival', a package from
which code parts were copied"),
person(given = "Thomas",
family = "Lumley",
role = "ctb",comment="contributor
to 'survival', a package from
which code parts were copied"),
person(given = "Hein",
family = "Putter",
role = "ctb",comment="co-author of
'mstate', a package from which
code parts were copied"),
person(given = "Liesbeth",
family = "de Wreede",
role = "ctb",comment="co-author of
'mstate', a package from which
code parts were copied"),
person(given = "Marta",
family = "Fiocco",
role = "ctb",comment="co-author of
'mstate', a package from which
code parts were copied"),
person(given = "Ronald",
family = "Geskus",
role = "ctb",comment="contributor
to 'mstate', a package
from which code parts were
copied"))
Implements an empirical Bayes, multi-state Cox model for survival analysis. Run "?'ebmstate-package'" for details. See also Schall (1991) <doi:10.1093/biomet/78.4.719>.
Rui Costa [aut, cre],
Moritz Gerstung [aut],
Terry M Therneau [ctb] (author of 'survival', a package from which code
parts were copied),
Thomas Lumley [ctb] (contributor to 'survival', a package from which
code parts were copied),
Hein Putter [ctb] (co-author of 'mstate', a package from which code
parts were copied),
Liesbeth de Wreede [ctb] (co-author of 'mstate', a package from which
code parts were copied),
Marta Fiocco [ctb] (co-author of 'mstate', a package from which code
parts were copied),
Ronald Geskus [ctb] (contributor to 'mstate', a package from which code
parts were copied)