Package: depmix 0.9.16
depmix: Dependent Mixture Models
Fits (multigroup) mixtures of latent or hidden Markov models on mixed categorical and continuous (timeseries) data. The 'Rdonlp2' package can optionally be used for optimization of the log-likelihood and is available from R-forge. See Visser et al. (2009, <doi:10.1007/978-0-387-95922-1_13>) for examples and applications.
Authors:
depmix_0.9.16.tar.gz
depmix_0.9.16.zip(r-4.5)depmix_0.9.16.zip(r-4.4)depmix_0.9.16.zip(r-4.3)
depmix_0.9.16.tgz(r-4.4-x86_64)depmix_0.9.16.tgz(r-4.4-arm64)depmix_0.9.16.tgz(r-4.3-x86_64)depmix_0.9.16.tgz(r-4.3-arm64)
depmix_0.9.16.tar.gz(r-4.5-noble)depmix_0.9.16.tar.gz(r-4.4-noble)
depmix_0.9.16.tgz(r-4.4-emscripten)depmix_0.9.16.tgz(r-4.3-emscripten)
depmix.pdf |depmix.html✨
depmix/json (API)
| # Install 'depmix' in R: |
| install.packages('depmix', repos = c('https://ingmarvisser.r-universe.dev', 'https://cloud.r-project.org')) |
- discrimination - Discrimination Learning Data
- speed - Speed Accuracy Switching Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:889cf239d1. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 24 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 24 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 23 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 23 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 23 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 23 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 23 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 23 2024 |
Exports:bootstrapdmmdnamefitdmmgenerateinamesinditemtypeslcaloglikemarkovdatamgdmmmixdmmncovnitemsntimesonelinerposteriorreplicates
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Depmix utility functions | bdiag checkSetRecode cl2st cl2stob fblo fbuo fresp kmstart np pa2conr paridx poststart pp ppar recitt recode tr2stin |
| Discrimination Learning Data | discrimination |
| Dependent Mixture Model Specifiction | dmm lca lcm summary.dmm |
| Fitting Dependent Mixture Models | bootstrap computeSes depmix fitdmm loglike oneliner posterior summary.fit |
| Generate data from a dependent mixture model | generate |
| Specifying Markov data objects | dname inames ind itemtypes markovdata ncov nitems ntimes plot.md plot.ts2 print.md replicates summary.md |
| Multi group model specification | mgdmm summary.mgd |
| Mixture of dmm's specification | mixdmm summary.mixdmm |
| Speed Accuracy Switching Data | speed |
