Machine Learning Model Evaluation for 'h2o' Package
person("E. F. Haghish",
role = c("aut", "cre", "cph"),
email = "haghish@uio.no")
Several functions are provided that simplify using 'h2o'
package. Currently, a function for extracting the AutoML
model parameter is provided, alongside a function for computing
F-Measure statistics at any given threshold. For more information
about 'h2o' package see <https://h2o.ai/>.

person("Lauren", "O'Brien", email = "obrlsoilau@gmail.com", role = c('aut', 'cre'), comment = c(ORCID = "0000-0002-7336-2171"))
Provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8' <https://github.com/jeroen/v8>.
V8 engine version 6+ is needed for modern JS and
WASM support. On Debian / Ubuntu install either libv8-dev or
libnode-dev, on Fedora use v8-devel.
geojsonsf, methods, purrr, sf, tidyr, utils, V8
covr, dplyr, ggplot2, knitr, rmarkdown, testthat

geojsonsf, methods, sf, tidyr, utils, V8 (>= 4.0.0)

S4 Interface to the 'HDF5' library supporting fast storage and
retrieval of R-objects like vectors, matrices and arrays to binary files in
a language independent format. The 'HDF5' format can therefore be used as
an alternative to R's save/load mechanism. Since h5 is able to access only
subsets of stored data it can also handle data sets which do not fit into
memory.
libhdf5 (>= 1.8.4) with C++ interface enabled
(--enable-cxx=yes)
'H5Location-Attribute.R' 'Attribute.R' 'CommonFG.R'
'CommonFG-DataSet.R' 'CommonFG-Group.R' 'DataSet.R'
'DataSpace.R' 'Dataset-Extend.R' 'Dataset-Subset.R' 'H5File.R'
'H5Group.R' 'Helpers.R' 'RcppExports.R' 'h5-package.R'

libhdf5 (>= 1.8.x, v18 API) with C++ interface
enabled (--enable-cxx=yes) and v18 API

libhdf5 (>= 1.8.x) with C++ interface
(--enable-cxx=yes) and v18 API enabled

testthat, roxygen2, highlight, zoo, microbenchmark

libhdf5 (>= 1.8.12) with C++ interface
(--enable-cxx=yes) and v18 API enabled
testthat, roxygen2, zoo, microbenchmark, knitr, rmarkdown