Package: clevr 0.1.2

Neil Marchant

clevr: Clustering and Link Prediction Evaluation in R

Tools for evaluating link prediction and clustering algorithms with respect to ground truth. Includes efficient implementations of common performance measures such as pairwise precision/recall, cluster homogeneity/completeness, variation of information, Rand index etc.

Authors:Neil Marchant [aut, cre], Rebecca Steorts [aut], Olivier Binette [ctb]

clevr_0.1.2.tar.gz
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clevr_0.1.2.tgz(r-4.4-emscripten)clevr_0.1.2.tgz(r-4.3-emscripten)
clevr.pdf |clevr.html✨
clevr/json (API)
NEWS

# Install 'clevr' in R:

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

Bug tracker:https://github.com/cleanzr/clevr/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

clustering-evaluation entity-resolution evaluation-metrics link-prediction record-linkage cpp

4.77 score 12 stars 49 scripts 293 downloads 27 exports 4 dependencies

Last updated 2 years agofrom:7757279d02. Checks:12 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 06 2025
R-4.5-win-x86_64	OK	Mar 06 2025
R-4.5-mac-x86_64	OK	Mar 06 2025
R-4.5-mac-aarch64	OK	Mar 06 2025
R-4.5-linux-x86_64	OK	Mar 06 2025
R-4.4-win-x86_64	OK	Mar 06 2025
R-4.4-mac-x86_64	OK	Mar 06 2025
R-4.4-mac-aarch64	OK	Mar 06 2025
R-4.4-linux-x86_64	OK	Mar 06 2025
R-4.3-win-x86_64	OK	Mar 06 2025
R-4.3-mac-x86_64	OK	Mar 06 2025
R-4.3-mac-aarch64	OK	Mar 06 2025

Exports:accuracy_pairs adj_rand_index balanced_accuracy_pairs canonicalize_pairs clusters_to_membership clusters_to_pairs completeness contingency_table_clusters contingency_table_pairs eval_report_clusters eval_report_pairs f_measure_pairs fowlkes_mallows fowlkes_mallows_pairs homogeneity membership_to_clusters membership_to_pairs mutual_info pairs_to_clusters pairs_to_membership precision_pairs rand_index recall_pairs sensitivity_pairs specificity_pairs v_measure variation_info

Dependencies:BH lattice Matrix Rcpp

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Accuracy of Linked Pairs	accuracy_pairs
Adjusted Rand Index Between Clusterings	adj_rand_index
Balanced Accuracy of Linked Pairs	balanced_accuracy_pairs
Canonicalize element pairs	canonicalize_pairs
Transform Clustering Representations	clusters_to_membership clusters_to_pairs membership_to_clusters membership_to_pairs pairs_to_clusters pairs_to_membership
Completeness Between Clusterings	completeness
Contingency Table for Clusterings	contingency_table_clusters
Binary Contingency Table for Linked Pairs	contingency_table_pairs
Evaluation Report for Clustering	eval_report_clusters
Evaluation Report for Linked Pairs	eval_report_pairs
F-measure of Linked Pairs	f_measure_pairs
Fowlkes-Mallows Index Between Clusterings	fowlkes_mallows
Fowlkes-Mallows Index of Linked Pairs	fowlkes_mallows_pairs
Homogeneity Between Clusterings	homogeneity
Mutual Information Between Clusterings	mutual_info
Precision of Linked Pairs	precision_pairs
Rand Index Between Clusterings	rand_index
Recall of Linked Pairs	recall_pairs sensitivity_pairs
Specificity of Linked Pairs	specificity_pairs
V-measure Between Clusterings	v_measure
Variation of Information Between Clusterings	variation_info