Imports: checkmate, data.table, distr6 (>= 1.6.8), mlr3misc (>= 0.7.0),
Author: Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>),

Title: Machine Learning in 'shiny' with 'mlr3'
Description: A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
Imports: mlr3 (>= 0.1.6), mlr3measures (>= 0.1.1), mlr3learners, shiny,
shinythemes, shinydashboard, shinyjs, shinyWidgets, shinyalert,
data.table (>= 1.12.8), DT (>= 0.11), readxl, stringr, plyr,
Suggests: testthat (>= 2.1.0), shinytest, devtools

Imports: mlr3 (>= 0.12.0), mlr3measures (>= 0.3.1), mlr3learners, shiny
(>= 1.6.0), shinythemes, shinydashboard, shinyjs (>= 2.0.0),
shinyWidgets, shinyalert, data.table (>= 1.12.8), DT (>= 0.11),
readxl, stringr, plyr, purrr, ranger, e1071, stats

Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the mlr3 ML framework with methods for spatial
objects. Data storage and prediction are supported for packages
methods, mlr3misc, R6 (>= 2.5.0), terra (>= 1.3-22), utils
Suggests: bench, e1071, future, future.callr, knitr, mlr3learners (>=
0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown,

Description: Extends the 'mlr3' ML framework with methods for spatial
methods, mlr3misc, R6 (>= 2.5.0), terra (>= 1.5-12), utils

methods, mlr3misc, R6 (>= 2.5.0), sf, terra (>= 1.6-3), utils
Suggests: bench, future, future.callr, knitr, mlr3learners (>= 0.4.5),
paradox, ranger, raster, rgdal, rmarkdown, rpart, stars (>=

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 ML framework with spatio-temporal resampling
methods to account for the presence of spatiotemporal autocorrelation
(STAC) in predictor variables. STAC may cause highly biased
performance estimates in cross-validation if ignored.
Imports: checkmate, data.table, ggplot2, mlr3 (>= 0.7.0), mlr3misc (>=
0.1.7), paradox, R6, testthat (>= 3.0.0), utils
Suggests: bbotk, blockCV (>= 2.1.1), CAST, ggsci, ggtext, GSIF, knitr,
lgr, mlr3filters, mlr3pipelines, mlr3tuning, patchwork, plotly,
rmarkdown, rpart, sf, skmeans, vdiffr, withr