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stablelearner (version 0.1-7)
Stability Assessment of Statistical Learning Methods
Description
Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
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Version
0.1-7
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0.1-4
0.1-3
0.1-2
0.1-1
Install
install.packages('stablelearner')
Monthly Downloads
5,866
Version
0.1-7
License
GPL-2 | GPL-3
Maintainer
Achim Zeileis
Last Published
October 27th, 2025
Functions in stablelearner (0.1-7)
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stabletree
Stability Assessment for Tree Learners
summary.stablelearnerList
Summarize Results from Stability Assessment
titanic
Passengers and Crew on the RMS Titanic
tuner
Tuning Wrapper Function
similarity_values
Extracting Similarity Values
stab_control
Control for Supervised Stability Assessments
LearnerList
List of Predefined Learners for Assessing Stability
bootstrap
Sampler Infrastructure for Stability Assessment
plot.stabletree
Visualizing Tree Stability Assessments
stabletree-coercion
Coercion Functions
similarity_measures_classification
Similarity Measure Infrastructure for Stability Assessment with Ordinal Responses
dgp_twoclass
Data-Ggnerating Function for Two-Class Problem
stability
Stability Assessment for Results from Supervised Statistical Learning
getLearner
Get Learner Details from
LearnerList
accuracy
Prediction Accuracy from Stability Assessment Results
boxplot.stablelearnerList
Illustrate Results from Stability Assessment
addLearner
Add Learners to
LearnerList
similarity_measures_regression
Similarity Measure Infrastructure for Stability Assessment with Numerical Responses