survival, DT, IRdisplay, htmltools, plotly, repr, curl

'models.R' 'coxph.R' 'coxphutils.R' 'kmeans.R' 'gam.R'
'anovaglm.R' 'gbm.R' 'generic.R' 'glm.R' 'glrm.R'
'modelselection.R' 'pca.R' 'svd.R' 'psvm.R' 'deeplearning.R'

person("Navdeep", "Gill", role = c("aut"), email = "navdeep@h2o.ai"),
person("Erin", "LeDell", role = c("aut"), email = "erin@h2o.ai"),
person("H2O.ai", role = c("cph", "fnd")))
Description: Interface to 'H2O4GPU' <https://github.com/h2oai/h2o4gpu>, a collection of 'GPU' solvers for machine learning algorithms.
SystemRequirements: Python (>= 3.6) with header files and shared
Packaged: 2018-03-23 15:25:46 UTC; terrytangyuan
Author: Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>),

person("Navdeep", "Gill", role = c("aut", "cre"), email = "navdeep@h2o.ai"),
person("Vladimir", "Ovsyannikov", role = c("aut"), email = "vladimir.ovsyannikov@h2o.ai"),
Imports: utils, magrittr, reticulate (>= 1.4)
Suggests: testthat, knitr, rmarkdown, Matrix
Author: Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>),

Title: Machine Learning Model Evaluation for 'h2o' Package
Description: 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/>.

Authors@R: person("Lauren", "O'Brien", email = "obrlsoilau@gmail.com", role = c('aut', 'cre'), comment = c(ORCID = "0000-0002-7336-2171"))
Description: 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>.
Imports: geojsonsf, methods, purrr, sf, tidyr, utils, V8
Suggests: covr, dplyr, ggplot2, knitr, rmarkdown, testthat
Author: Lauren O'Brien [aut, cre] (<https://orcid.org/0000-0002-7336-2171>)

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

Description: 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
SystemRequirements: libhdf5 (>= 1.8.4) with C++ interface enabled