About
Documentation
Organizations
Maintainers
System Libraries
topepo
Builds
Packages
Articles
Contribution
Badges
API
Feed
Search
Links to
topepo
Packages JSON API
Open
Information about packages in this universe
All packages in 'topepo' (JSON format)
All packages 'topepo' (NDJSON stream)
AmesHousing
AppliedPredictiveModeling
baguette
beans
brulee
C50
caret
Cubist
desirability
desirability2
finetune
modeldata
modeldb
parsnip
plsmod
probably
QSARdata
recipes
sfd
sparsediscrim
sparseLDA
tidymodels
tidyposterior
tune
usemodels
Export datasets
Download
Export datasets to various formats
AmesHousing::ames_geo (tbl_df)
AmesHousing::ames_new (spec_tbl_df)
AmesHousing::ames_raw (tbl_df)
AmesHousing::ames_school_districts_sf (sf)
AmesHousing::ames_schools_geo (tbl_df)
AmesHousing::hood_levels (character)
AppliedPredictiveModeling::ChemicalManufacturingProcess (data.frame)
AppliedPredictiveModeling::abalone (data.frame)
AppliedPredictiveModeling::bio (data.frame)
AppliedPredictiveModeling::cars2010 (data.frame)
AppliedPredictiveModeling::cars2011 (data.frame)
AppliedPredictiveModeling::cars2012 (data.frame)
AppliedPredictiveModeling::chem (data.frame)
AppliedPredictiveModeling::classes (factor)
AppliedPredictiveModeling::concrete (data.frame)
AppliedPredictiveModeling::diagnosis (factor)
AppliedPredictiveModeling::fingerprints (matrix)
AppliedPredictiveModeling::injury (factor)
AppliedPredictiveModeling::logisticCreditPredictions (data.frame)
AppliedPredictiveModeling::mixtures (data.frame)
AppliedPredictiveModeling::permeability (matrix)
AppliedPredictiveModeling::predictors (data.frame)
AppliedPredictiveModeling::predictors (data.frame)
AppliedPredictiveModeling::schedulingData (data.frame)
AppliedPredictiveModeling::segmentationOriginal (data.frame)
AppliedPredictiveModeling::solTestX (data.frame)
AppliedPredictiveModeling::solTestXtrans (data.frame)
AppliedPredictiveModeling::solTestY (numeric)
AppliedPredictiveModeling::solTrainX (data.frame)
AppliedPredictiveModeling::solTrainXtrans (data.frame)
AppliedPredictiveModeling::solTrainY (numeric)
beans::beans (tbl_df)
caret::GermanCredit (data.frame)
caret::Sacramento (data.frame)
caret::absorp (matrix)
caret::bbbDescr (data.frame)
caret::cars (data.frame)
caret::cox2Class (factor)
caret::cox2Descr (data.frame)
caret::cox2IC50 (numeric)
caret::dhfr (data.frame)
caret::endpoints (matrix)
caret::fattyAcids (data.frame)
caret::logBBB (numeric)
caret::mdrrClass (factor)
caret::mdrrDescr (data.frame)
caret::oilType (factor)
caret::potteryClass (factor)
caret::scat (data.frame)
caret::scat_orig (data.frame)
caret::segmentationData (data.frame)
desirability2::classification_results (tbl_df)
modeldata::Chicago (tbl_df)
modeldata::Sacramento (tbl_df)
modeldata::Smithsonian (tbl_df)
modeldata::ad_data (tbl_df)
modeldata::ames (tbl_df)
modeldata::attrition (data.frame)
modeldata::biomass (data.frame)
modeldata::bivariate_test (tbl_df)
modeldata::bivariate_train (tbl_df)
modeldata::bivariate_val (tbl_df)
modeldata::car_prices (tbl_df)
modeldata::cat_adoption (tbl_df)
modeldata::cells (tbl_df)
modeldata::check_times (tbl_df)
modeldata::chem_proc_yield (tbl_df)
modeldata::concrete (tbl_df)
modeldata::covers (data.frame)
modeldata::credit_data (data.frame)
modeldata::crickets (tbl_df)
modeldata::deliveries (tbl_df)
modeldata::drinks (tbl_df)
modeldata::grants_2008 (integer)
modeldata::grants_other (data.frame)
modeldata::grants_test (data.frame)
modeldata::hepatic_injury_qsar (tbl_df)
modeldata::hotel_rates (tbl_df)
modeldata::hpc_cv (data.frame)
modeldata::hpc_data (tbl_df)
modeldata::ischemic_stroke (tbl_df)
modeldata::leaf_id_flavia (tbl_df)
modeldata::lending_club (tbl_df)
modeldata::meats (tbl_df)
modeldata::mlc_churn (tbl_df)
modeldata::oils (tbl_df)
modeldata::parabolic (tbl_df)
modeldata::pathology (data.frame)
modeldata::pd_speech (tbl_df)
modeldata::penguins (tbl_df)
modeldata::permeability_qsar (tbl_df)
modeldata::scat (tbl_df)
modeldata::solubility_test (data.frame)
modeldata::stackoverflow (tbl_df)
modeldata::stations (character)
modeldata::steroidogenic_toxicity (tbl_df)
modeldata::tate_text (tbl_df)
modeldata::taxi (tbl_df)
modeldata::testing_data (tbl_df)
modeldata::training_data (tbl_df)
modeldata::two_class_dat (tbl_df)
modeldata::two_class_example (data.frame)
modeldata::wa_churn (tbl_df)
parsnip::model_db (tbl_df)
probably::boosting_predictions_oob (tbl_df)
probably::boosting_predictions_test (tbl_df)
probably::segment_logistic (tbl_df)
probably::segment_naive_bayes (tbl_df)
probably::species_probs (tbl_df)
QSARdata::AquaticTox_Activity (numeric)
QSARdata::AquaticTox_AtomPair (data.frame)
QSARdata::AquaticTox_Daylight_FP (data.frame)
QSARdata::AquaticTox_Dragon (data.frame)
QSARdata::AquaticTox_Lcalc (data.frame)
QSARdata::AquaticTox_Outcome (data.frame)
QSARdata::AquaticTox_PipelinePilot_FP (data.frame)
QSARdata::AquaticTox_QuickProp (data.frame)
QSARdata::AquaticTox_moe2D (data.frame)
QSARdata::AquaticTox_moe2D_FP (data.frame)
QSARdata::AquaticTox_moe3D (data.frame)
QSARdata::MP_Data (factor)
QSARdata::MP_Descriptors (data.frame)
QSARdata::MP_Outcome (numeric)
QSARdata::Mutagen_Dragon (data.frame)
QSARdata::Mutagen_Outcome (factor)
QSARdata::bbb2_AtomPair (data.frame)
QSARdata::bbb2_Class (factor)
QSARdata::bbb2_Daylight_FP (data.frame)
QSARdata::bbb2_Dragon (data.frame)
QSARdata::bbb2_Lcalc (data.frame)
QSARdata::bbb2_Outcome (data.frame)
QSARdata::bbb2_PipelinePilot_FP (data.frame)
QSARdata::bbb2_QuickProp (data.frame)
QSARdata::bbb2_moe2D (data.frame)
QSARdata::bbb2_moe2D_FP (data.frame)
QSARdata::bbb2_moe3D (data.frame)
sfd::sfd_lib (list)
sparsediscrim::two_class_sim_data (tbl_df)
sparseLDA::penicilliumYES (list)
tidyposterior::concrete_example (vfold_cv)
tidyposterior::contrast_samples (posterior_diff)
tidyposterior::noisy_example (vfold_cv)
tidyposterior::posterior_samples (posterior)
tidyposterior::precise_example (vfold_cv)
tidyposterior::ts_example (rolling_origin)
tune::ames_grid_search (tune_results)
tune::ames_iter_search (iteration_results)
tune::ames_wflow (workflow)
csv
xlsx
json
ndjson
RData
rds
Download snapshot
Download
Download a full copy of the cran-like repository with docs, to mirror or backup.
Optional filters (defaults include everything):
Source packages
Windows binaries
MacOS binaries
Linux binaries
WebAssembly binaries
Package docs
Binaries for R-4.4
Binaries for R-4.3
AmesHousing
AppliedPredictiveModeling
beans
C50
caret
Cubist
desirability
sfd
sparsediscrim
sparseLDA