Author: Craig A. Rolling <craig.rolling@slu.edu>
Maintainer: Craig A. Rolling <craig.rolling@slu.edu>
Description: Constructs gains tables and lift charts for prediction algorithms. Gains tables and lift charts are commonly used in direct marketing applications.  The method is described in Drozdenko and Drake (2002), "Optimal Database Marketing", Chapter 11.
Packaged: 2017-09-12 19:29:09 UTC; rollingca

Description: The Atlas of Living Australia ('ALA') provides tools to enable users
<https://ala.org.au/>. 'galah' provides a subset of the tools to be
Imports: assertthat, crul, data.table, digest, httr, jsonlite (>=
0.9.8), sf, sp, stringr (>= 1.0.0), utils, wellknown
Suggests: covr, dplyr, ggplot2, knitr, ozmaps, pkgdown, rmarkdown,

person("Dax", "Kellie", email="dax.kellie@csiro.au", role = "ctb"))
Suggests: covr, dplyr, ggplot2, knitr, pkgdown, rmarkdown, taxize,

Suggests: vcr (>= 0.6.0), collapsibleTree, covr, dplyr, ggplot2, knitr,
magrittr, pkgdown, rmarkdown, taxize, testthat, treemapify,

Imports: assertthat, crul, data.table, data.tree, digest, httr,
jsonlite (>= 0.9.8), sf, sp, stringr (>= 1.0.0), utils,

Australian plants and animals. 'galah' enables the R community to directly
access data and resources hosted by the ALA and other living atlases.
Imports: assertthat, crul, data.table, data.tree, digest, glue (>=
sf, stringr (>= 1.0.0), tibble, tidyselect, utils, wellknown
Suggests: vcr (>= 0.6.0), covr, dplyr, knitr, magrittr, pkgdown,

Title: Biodiversity Data from the Living Atlas Community
Description: The living atlas community provides tools to enable users
plants, animals and fungi. 'galah' enables the R community to directly
access data and resources hosted by the living atlases.
sf, stringr (>= 1.0.0), tibble, tidyselect, utils
Suggests: vcr (>= 0.6.0), covr, dplyr, kableExtra, knitr, magrittr,

Title: Genetic Algorithms for Multivariate Statistical Models from
Authors@R: c(person("Victor", "Trevino", role=c("aut","cre"), email="vtrevino@itesm.mx"),
person("Copyright (C) The R Core Team", role=c("cph","ctb")),
person("Copyright (C) The R Foundation", role=c("cph","ctb")))
Copyright (C) The R Core Team [cph, ctb],
Copyright (C) The R Foundation [cph, ctb]
Description: Build multivariate predictive models from large datasets
having far larger number of features than samples such as in
Trevino and Falciani (2006) <doi:10.1093/bioinformatics/btl074>.
Imports: e1071, rpart, nnet, randomForest, MASS
Packaged: 2018-10-02 21:16:04 UTC; victortrevino