Suggests: bibtex, ggplot2, glmnet, igraph, knitr, lme4, mlbench, bbotk
(>= 0.2.0), mlr3filters (>= 0.1.1), mlr3learners, mlr3measures,
nloptr, quanteda, rmarkdown, rpart, stopwords, testthat,
visNetwork, bestNormalize, fastICA, kernlab, smotefamily,
evaluate, NMF, MASS, kknn, GenSA, methods, vtreat

Suggests: ggplot2, glmnet, igraph, knitr, lme4, mlbench, bbotk (>=
0.2.0), mlr3filters (>= 0.1.1), mlr3learners, mlr3measures,

0.3.0), mlr3filters (>= 0.1.1), mlr3learners, mlr3measures,

evaluate, NMF, MASS, kknn, GenSA, methods, vtreat, future

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised
learning for 'mlr3'.  This includes extending the regression task to
probabilistic and interval regression, adding a survival task, and
other specialized models, predictions, and measures.
Imports: BBmisc, checkmate, data.table, distr6 (>= 1.3.1), mboost, mlr3
(>= 0.1.4), mlr3misc (>= 0.1.5), mlr3pipelines, paradox (>=
Suggests: flexsurv, gbm, glmnet, knitr, lgr, mlr3tuning, pec,
penalized, randomForestSRC, ranger, riskRegression, rpart,

Suggests: bibtex, flexsurv, gbm, glmnet, knitr, lgr, mlr3tuning, pec,

Imports: checkmate, data.table, distr6 (>= 1.3.3), mboost, mlr3 (>=

Imports: checkmate, data.table, distr6 (>= 1.3.4), mlr3 (>= 0.1.4),
mlr3misc (>= 0.1.7), mlr3pipelines, paradox (>= 0.1.0), R6,
Suggests: bibtex, flexsurv, gbm, glmnet, knitr, lgr, mboost,
mlr3tuning, obliqueRSF, pec, penalized, randomForestSRC,
ranger, riskRegression, rpart, set6, simsurv, survAUC,

Imports: checkmate, data.table, distr6 (>= 1.3.5), mlr3 (>= 0.1.7),
Suggests: bibtex, flexsurv, gbm, glmnet, kerdiest, gss, knitr, ks, lgr,
logspline, locfit, mboost, mlr3tuning, np, obliqueRSF, pec,
penalized, pendensity, plugdensity, randomForestSRC, ranger,
riskRegression, rpart, set6, simsurv, sm, survAUC, survivalsvm,

Imports: checkmate, data.table, distr6 (>= 1.3.6), mlr3 (>= 0.1.8),
Suggests: bibtex, CoxBoost, flexsurv, gbm, ggplot2, glmnet, gss,
kerdiest, knitr, ks, lgr, logspline, locfit, Matrix, mboost,
mlr3tuning, np, obliqueRSF, pec, penalized, pendensity,
plugdensity, randomForestSRC, ranger, riskRegression, rpart,
set6, simsurv, sm, survAUC, survivalsvm, testthat, xgboost