Title: Feature Selection Engine to Remove Features with Minimal
person("Gary", "Hutson", , "hutsons-hacks@outlook.com", c("aut", "cre"), comment = c(ORCID="0000-0003-3534-6143")))
Description: The aim is to take in data.frame inputs and utilises methods, such as recursive feature engineering, to enable the features to be removed.
What this does differently from the other packages, is that it gives you the choice to remove the variables manually, or it automated this process.
Feature selection is a concept in machine learning, and statistical pipelines, whereby unimportant, or less predictive variables are eliminated from the analysis, see Boughaci (2018) <doi:10.1007/s40595-018-0107-y>.
Imports: ggplot2, caret, tibble, dplyr, stats, utils, lattice, e1071,

Title: Functions to Automate Downloading Geospatial Data Available from
Author: R. Kyle Bocinsky <bocinsky@gmail.com>
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of four datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; and the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA. Additional data sources are in the works, including global DEM resources (ETOPO1, ETOPO5, ETOPO30, SRTM), global soils (HWSD), tree-ring records (ITRDB), MODIS satellite data products, the National Atlas (US), Natural Earth, PRISM, and WorldClim.
Depends: sp, raster, rgdal, igraph, Hmisc

Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of five datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; and the International Tree Ring Data Bank. Additional data sources are in the works, including global DEM resources (ETOPO1, ETOPO5, ETOPO30, SRTM), global soils (HWSD), MODIS satellite data products, the National Atlas (US), Natural Earth, PRISM, and WorldClim.
Depends: R (>= 3.1.0), sp, rgdal, raster, RCurl
Imports: rgeos, igraph, data.table, devtools, soilDB