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rsample (version 0.0.6)
General Resampling Infrastructure
Description
Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
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Install
install.packages('rsample')
Monthly Downloads
58,095
Version
0.0.6
License
GPL-2
Issues
24
Pull Requests
1
Stars
323
Forks
57
Repository
https://github.com/tidymodels/rsample
Homepage
https://tidymodels.github.io/rsample
Maintainer
Max Kuhn
Last Published
March 31st, 2020
Functions in rsample (0.0.6)
Search functions
complement
Determine the Assessment Samples
bootstraps
Bootstrap Sampling
as.data.frame.rsplit
Convert an
rsplit
object to a data frame
nested_cv
Nested or Double Resampling
form_pred
Extract Predictor Names from Formula or Terms
make_strata
Create or Modify Stratification Variables
drinks
Sample Time Series Data
new_rset
Constructor for new rset objects
gather.rset
Gather an
rset
Object
populate
Add Assessment Indicies
mc_cv
Monte Carlo Cross-Validation
add_resample_id
Augment a data set with resampling identifiers
attrition
Job Attrition
rsample
rsample: General Resampling Infrastructure for R
rsample2caret
Convert Resampling Objects to Other Formats
apparent
Sampling for the Apparent Error Rate
labels.rset
Find Labels from rset Object
group_vfold_cv
Group V-Fold Cross-Validation
int_pctl
Bootstrap confidence intervals
validation_split
Create a Validation Set
initial_split
Simple Training/Test Set Splitting
vfold_cv
V-Fold Cross-Validation
labels.rsplit
Find Labels from rsplit Object
pretty.vfold_cv
Short Decriptions of rsets
tidy.rsplit
Tidy Resampling Object
loo_cv
Leave-One-Out Cross-Validation
make_splits
Constructor for split objects
rolling_origin
Rolling Origin Forecast Resampling
reexports
Objects exported from other packages
two_class_dat
Two Class Data