Package: MaxIntTools 0.1.0

Zaheer Ahmed

MaxIntTools: Testing Maximal Interaction in Two-Mode Clustering via a Permutation Based Procedure

Performs maximal interaction two-mode clustering, permutation tests, scree plots, and interaction visualizations for bicluster analysis. See Ahmed et al. (2025) <doi:10.17605/OSF.IO/AWGXB>, Ahmed et al. (2023) <doi:10.1007/s00357-023-09434-2>, Ahmed et al. (2021) <doi:10.1007/s11634-021-00441-y>.

Authors:Zaheer Ahmed [aut, cre, cph], Jan Schepers [ctb], Uwe Ligges [ctb], Alberto Cassese [ctb], Gerard van Breukelen [ctb], Katja Ickstadt [ctb], Edmund Wascher [ctb]

MaxIntTools_0.1.0.tar.gz
MaxIntTools_0.1.0.tar.gz(r-4.7-any)MaxIntTools_0.1.0.tar.gz(r-4.6-any)
MaxIntTools_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MaxIntTools/json (API)

# Install 'MaxIntTools' in R:
install.packages('MaxIntTools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 161 downloads 16 exports 22 dependencies

Last updated from:5cac08307d. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK209
linux-release-x86_64OK121
wasm-releaseOK105

Exports:E_ReMIextract_Gamma_EReMILog_Likelihood_function_E_ReMILog_Likelihood_function_REMAXINTLog_LR_Test_StatisticMaxInt_data_analysisMaxInt.heatmap.plotMaxInteraction.plotPermutation_FunctionRandompartition_functionREMAXINTUnequal_Randompartition_FunctionUpdate_column_clustersUpdate_G_OmegaUpdate_row_clusters_E_ReMIUpdate_row_clusters_REMAXINT

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleMASSplyrpracmaR6RColorBrewerRcppreshaperlangS7scalesvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
MaxIntTools: Tools for Detecting and Understanding Maximal Interaction Two-Mode ClusteringMaxIntTools-package
Two-Mode Clustering via the E_ReMI MethodE_ReMI
Extract Estimated Gamma Matrix for a Specific Cluster Combinationextract_Gamma_EReMI
Log-Likelihood Calculation for E-ReMI ClusteringLog_Likelihood_function_E_ReMI
Compute Log-Likelihood for REMAXINT methodLog_Likelihood_function_REMAXINT
Compute Log-Likelihood Ratio test statistics for permutation based Extended Random Effect Maximal Interaction (E-ReMI) Two-Mode Clustering ModelLog_LR_Test_Statistic
Permutation-Based Inference and Interaction Estimation for Maximal Interaction Two-Mode ClusteringMaxInt_data_analysis
Heatmap for Visualizing Row by Column (Participant-by-Task) Clusters InteractionMaxInt.heatmap.plot
Interaction Plot to understand the nature of row-by-column clusters interaction against the optimal choice of (P) and (Q).MaxInteraction.plot
Permutation-based hypothesis testing procedure for REMAXINT and E-REMI based test statistic(s).Permutation_Function
Print Summary for MaxInt Data Analysis Resultsprint.MaxInt_data_analysis
Generate a Random Partition Matrix of Equally sized row and column clusters. These clusters are mutually exclusive and there is no empty row and column cluster.Randompartition_function
Two-Mode Clustering via the REMAXINT MethodREMAXINT
Scree Plot for Maximal Interaction Two-Mode Clustering Resultsscreeplot.MaxInt_data_analysis
Generate a Random Partition Matrix of Unequally sized row clusters. Therefore, it assign higher weight or probability to first the row cluster and the remaining row clusters are evenly distributed.Unequal_Randompartition_Function
Update Column Cluster Assignments in REMAXINT and E-ReMI clustering framework.Update_column_clusters
Updates Row Cluster Membership ProbabilitiesUpdate_G_Omega
Update Row Cluster Assignments in E-ReMI clustering framework.Update_row_clusters_E_ReMI
Update Row Cluster Assignments in REMAXINT clustering methodUpdate_row_clusters_REMAXINT