Package: stablelearner 0.1-9

stablelearner: Stability Assessment of Statistical Learning Methods

Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.

Authors:Michel Philipp [aut], Carolin Strobl [aut], Achim Zeileis [aut, cre], Thomas Rusch [aut], Kurt Hornik [aut], Lennart Schneider [aut]

stablelearner_0.1-9.tar.gz
stablelearner_0.1-9.zip(r-4.7-any)stablelearner_0.1-9.zip(r-4.6-any)stablelearner_0.1-9.zip(r-4.5-any)
stablelearner_0.1-9.tgz(r-4.6-any)stablelearner_0.1-9.tgz(r-4.5-any)
stablelearner_0.1-9.tar.gz(r-4.7-any)stablelearner_0.1-9.tar.gz(r-4.6-any)
stablelearner_0.1-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
stablelearner/json (API)

# Install 'stablelearner' in R:

install.packages('stablelearner', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://codeberg.org/zeileis/stablelearner

Datasets:

titanic - Passengers and Crew on the RMS Titanic

On CRAN:

4.87 score 26 scripts 1.9k downloads 33 exports 27 dependencies

Last updated from:714fa6b654. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	181
source / vignettes	OK	263
linux-release	OK	161
macos-release	OK	133
macos-oldrel	OK	124
windows-devel	OK	100
windows-release	OK	97
windows-oldrel	OK	83
wasm-release	OK	109

Exports:accuracy addLearner as.stabletree bdist bootstrap ccc ckappa clagree cosine cprob dgp_twoclass edist getLearner hdist jackknife jsdiv LearnerList madist msdist pcc qadist rbfkernel rmsdist samplesplitting similarity_values splithalf stab_control stability stabletree subsampling tanimoto tuner tvdist

Dependencies:class codetools coin e1071 Formula inum lattice libcoin MASS Matrix matrixStats modeltools multcomp mvtnorm party partykit proxy randomForest ranger Rcpp RcppEigen rpart sandwich strucchange survival TH.data zoo

Descriptive and Graphical Analysis of the Variable and Cutpoint Selection inside Random Forests

Rendered fromforests.Rmdusingknitr::rmarkdown

Last update: 2021-01-08
Started: 2020-02-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Prediction Accuracy from Stability Assessment Results	accuracy
Add Learners to 'LearnerList'	addLearner
Sampler Infrastructure for Stability Assessment	bootstrap jackknife samplesplitting splithalf subsampling
Illustrate Results from Stability Assessment	boxplot.stablelearner boxplot.stablelearnerList
Data-Ggnerating Function for Two-Class Problem	dgp_twoclass
Get Learner Details from 'LearnerList'	getLearner
List of Predefined Learners for Assessing Stability	LearnerList
Visualizing Tree Stability Assessments	barplot.stabletree image.stabletree plot.stabletree
Similarity Measure Infrastructure for Stability Assessment with Ordinal Responses	bdist ckappa clagree hdist jsdiv similarity_measures similarity_measures_classification tvdist
Similarity Measure Infrastructure for Stability Assessment with Numerical Responses	ccc cosine cprob edist madist msdist pcc qadist rbfkernel rmsdist similarity_measures_regression tanimoto
Extracting Similarity Values	similarity_values
Control for Supervised Stability Assessments	stab_control
Stability Assessment for Results from Supervised Statistical Learning	print.stablelearner print.stablelearnerList stability
Stability Assessment for Tree Learners	print.stabletree print.summary.stabletree stabletree summary.stabletree
Coercion Functions	as.stabletree as.stabletree,RandomForest-method as.stabletree.cforest as.stabletree.RandomForest as.stabletree.randomForest as.stabletree.ranger stabletree-coercion
Summarize Results from Stability Assessment	print.summary.stablelearnerList summary.stablelearner summary.stablelearnerList
Passengers and Crew on the RMS Titanic	titanic
Tuning Wrapper Function	tuner