Introduction | A Quick Tour | Exploring the MC-simulated dissimilraties | Group comparison | Clustering | MDS scores | Closing remarks | References
This package is considered a duplicate. The official version of this package is found at:https://traminer.r-universe.dev/MCseqReplic
Package: MCseqReplic 1.1.0
Gilbert Ritschard
MCseqReplic: Monte Carlo Simulations of Time Changes in Sequences
Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
Authors:
MCseqReplic_1.1.0.tar.gz
MCseqReplic_1.1.0.tar.gz(r-4.7-any)MCseqReplic_1.1.0.tar.gz(r-4.6-any)
MCseqReplic_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MCseqReplic/json (API)
| # Install 'MCseqReplic' in R: |
| install.packages('MCseqReplic', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:3ceb564116. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 228 | ||
| source / vignettes | OK | 204 | ||
| linux-release-x86_64 | OK | 222 | ||
| wasm-release | OK | 178 |
Exports:ggplotMCcqiMCclustcompMCclustqualMCcompgrpMCdisscorrMCdisslistMCExtractDistMCmdscorrMCnuniqueMCpjMCratiosMCseqdistSEMCseqReplicateMCudist
Dependencies:aricodebootcliclustercodetoolscolorspacecpp11data.tabledigestdoFuturedoParalleldoSNOWdplyrfarverfastclusterforeachfuturefuture.applygenericsggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvlme4magrittrmarginsMASSMatrixmgcvminqamnormtnlmenloptrnnetparallellypermutepillarpkgconfigpredictionprogressrpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalessnowstringistringrsurvivaltibbletidyrtidyselectTraMineRTraMineRextrasutf8vctrsveganvegclustviridisLitewCorrWeightedClusterwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Comparing MC-clusters with cluster of observed data | MCclustcomp |
| Cluster quality measures by MC-sets | ggplotMCcqi MCclustqual print.MCclustQ |
| Group comparison by MC-sets | MCcompgrp |
| Correlation between observed and MC-simulated distances | MCdisscorr |
| List of dissimilarity matrices | MCdisslist |
| Extract k-th dissimilarity matrix from u.diss | MCExtractDist |
| Correlation between 1st MDS factor of observed and MC-simulated distances | MCmdscorr |
| Number of unique replicated sequences | MCnunique |
| Generate distribution of timing errors | MCpj |
| Ratios of distances on their standard errors | MCratios |
| Distance standard errors derived from sets of MC-replicated sequences | MCseqdistSE |
| Generate R altered sequence data sets. | MCseqReplicate |
| Dissimilarities between unique replicated sequences | MCudist |
| Print method for distMC objects | print.distMC |
| Print method for MCratios objects | print.MCratios |
| Summary method for distMC objects | summary.distMC |
| Summary method for MCratios objects | summary.MCratios |
