Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.3.0) of this package.
Take me there.
rsample (version 0.0.2)
General Resampling Infrastructure
Description
Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Copy Link
Link to current version
Version
Version
1.3.0
1.2.1
1.2.0
1.1.1
1.1.0
1.0.0
0.1.1
0.1.0
0.0.9
0.0.8
0.0.7
0.0.6
0.0.5
0.0.4
0.0.3
0.0.2
0.0.1
Install
install.packages('rsample')
Monthly Downloads
71,082
Version
0.0.2
License
GPL-2
Maintainer
Max Kuhn
Last Published
November 12th, 2017
Functions in rsample (0.0.2)
Search all functions
fill
Add Assessment Indicies
rolling_origin
Rolling Origin Forecast Resampling
rsample
rsample: General Resampling Infrastructure for R
rsample2caret
Convert Resampling Objects to Other Formats
tidy.rsplit
Tidy Resampling Object
attrition
Job Attrition
bootstraps
Bootstrap Sampling
labels.rset
Find Labels from rset Object
labels.rsplit
Find Labels from rsplit Object
complement
Determine the Assessment Samples
form_pred
Extract Predictor Names from Formula or Terms
gather.rset
Gather an `rset` Object
prepper
Wrapper Function for Preparing Recipes
pretty.vfold_cv
Short Decriptions of rsets
vfold_cv
V-Fold Cross-Validation
apparent
Sampling for the Apparent Error Rate
as.data.frame.rsplit
Convert an `rsplit` object to a data frame
group_vfold_cv
Group V-Fold Cross-Validation
initial_split
Simple Training/Test Set Splitting
loo_cv
Leave-One-Out Cross-Validation
make_strata
Create or Modify Stratification Variables
mc_cv
Monte Carlo Cross-Validation
nested_cv
Nested or Double Resampling