Data | Using default parameters: partition around medoids (PAM) | Using custom init_y_method: clustering large applications (CLARA) | Using custom init_y | Visualising | Saving fits | Multiple criteria
Package: disclapmix 1.7.5
disclapmix: Discrete Laplace Mixture Inference using the EM Algorithm
Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).
Authors:
disclapmix_1.7.5.tar.gz
disclapmix_1.7.5.zip(r-4.7-x86_64)disclapmix_1.7.5.zip(r-4.7-arm64)disclapmix_1.7.5.zip(r-4.6-x86_64)disclapmix_1.7.5.zip(r-4.6-arm64)disclapmix_1.7.5.zip(r-4.5-x86_64)
disclapmix_1.7.5.tgz(r-4.6-x86_64)disclapmix_1.7.5.tgz(r-4.6-arm64)disclapmix_1.7.5.tgz(r-4.5-x86_64)disclapmix_1.7.5.tgz(r-4.5-arm64)
disclapmix_1.7.5.tar.gz(r-4.7-arm64)disclapmix_1.7.5.tar.gz(r-4.7-x86_64)disclapmix_1.7.5.tar.gz(r-4.6-arm64)disclapmix_1.7.5.tar.gz(r-4.6-x86_64)
disclapmix_1.7.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
disclapmix/json (API)
| # Install 'disclapmix' in R: |
| install.packages('disclapmix', repos = c('https://mikldk.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mikldk/disclapmix/issues
Datasets:
- danes - Y-STR haplotypes
Last updated from:dc25dbcf6c. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 136 | ||
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 277 | ||
| linux-release-arm64 | OK | 129 | ||
| linux-release-x86_64 | OK | 188 | ||
| macos-release-arm64 | OK | 98 | ||
| macos-release-x86_64 | OK | 251 | ||
| macos-oldrel-arm64 | OK | 113 | ||
| macos-oldrel-x86_64 | OK | 236 | ||
| windows-devel-arm64 | OK | 489 | ||
| windows-devel-x86_64 | OK | 195 | ||
| windows-release-arm64 | OK | 430 | ||
| windows-release-x86_64 | OK | 158 | ||
| windows-oldrel-x86_64 | OK | 88 | ||
| wasm-release | OK | 100 |
Exports:clusterdistclusterprobcontributor_pairsdisclapmixdisclapmix_adaptivedisclapmix_robustexport_compact_fitgenerate_mixtureget_rankrank_contributor_pairs
Dependencies:clusterdisclapMASSRcppRcppProgress
Adaptive fitting
Last update: 2022-12-19
Started: 2022-07-08
Introduction
Analysis | Short version | Longer version | References
Last update: 2022-06-30
Started: 2018-04-20
Mixtures
Introduction | Mixture analysis | References
Last update: 2019-01-09
Started: 2018-04-22
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| disclapmix | disclapmix-package |
| Calculate distance between clusters | clusterdist |
| Cluster origin probabilities for haplotypes | clusterprob |
| Contributor pairs from a 2 person mixture | contributor_pairs |
| Y-STR haplotypes | danes |
| Discrete Laplace mixture inference using the EM algorithm | disclapmix disclapmixfit |
| Adaptive fitting | disclapmix_adaptive |
| Robust fitting | disclapmix_robust |
| Export model fit to compact format | export_compact_fit |
| Generate a mixture | generate_mixture |
| Get rank of pair | get_rank |
| Calculate haplotype diversity from a disclapmixfit | haplotype_diversity |
| Plot a disclapmixfit | plot.disclapmixfit |
| Plot ranked contributor pairs | plot.ranked_contrib_pairs |
| Predict from a disclapmixfit | predict.disclapmixfit |
| Print contributor pairs | print.contrib_pairs |
| Print a disclapmixfit | print.disclapmixfit |
| Print ranked contributor pairs | print.ranked_contrib_pairs |
| Separate a 2 person mixture | rank_contributor_pairs |
| Simulate from a disclapmixfit | simulate.disclapmixfit |
| Summary of a disclapmixfit | summary.disclapmixfit |