Description: Tools to download, map, plot and analyze eBird Status and
data to model continental bird abundances, range boundaries, habitat
Imports: DBI, dplyr (>= 0.7.0), fasterize, gbm, ggplot2, grDevices,
jsonlite, gridExtra, magrittr, methods, mgcv, PresenceAbsence,
rappdirs, raster, rgdal, rlang, RSQLite, sf (>= 1.0-0), stats,
stringr, tidyr (>= 1.0.0), tools, utils, viridisLite, xml2
Suggests: covr, fields, knitr, rmarkdown, rnaturalearth, testthat

person("Matthew", "Strimas-Mackey", , "mes335@cornell.edu", role = c("aut", "cre"),
person("Shawn", "Ligocki", , "sligocki@cornell.edu", role = "aut"),
person("Tom", "Auer", , "mta45@cornell.edu", role = "aut",
person("Daniel", "Fink", , "df36@cornell.edu", role = "aut",
Description: Tools to download, load, plot, and analyze eBird Status and
Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird
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.
Imports: DBI, dplyr (>= 1.0.0), gbm, ggplot2, grDevices, gridExtra,
jsonlite, magrittr, mgcv, precrec, PresenceAbsence, raster (>=
3.1-5), rgdal, rlang, RSQLite, sf (>= 1.0-0), stats, stringr,
tidyr (>= 1.0.0), tools, utils, viridisLite
Suggests: exactextractr, fields, knitr, rmarkdown, rnaturalearth,

Title: Ensemble-Based Methods for Class Imbalance Problem
Maintainer: "Hsiang Hao, Chen" <kbman1101@gmail.com>
Description: 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>.
Imports: e1071, rpart, C50, randomForest, DMwR, pROC