Introduction | Model specifications | Posterior simulation methods | Package implementation | Usage of the package | Appendix
This package is considered a duplicate. The official version of this package is found at:https://rcorradin.r-universe.dev/BNPmix
Package: BNPmix 1.2.3
Riccardo Corradin
BNPmix: Bayesian Nonparametric Mixture Models
Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.
Authors:
BNPmix_1.2.3.tar.gz
BNPmix_1.2.3.zip(r-4.7-x86_64)BNPmix_1.2.3.zip(r-4.7-arm64)BNPmix_1.2.3.zip(r-4.6-x86_64)BNPmix_1.2.3.zip(r-4.6-arm64)
BNPmix_1.2.3.tar.gz(r-4.7-arm64)BNPmix_1.2.3.tar.gz(r-4.7-x86_64)BNPmix_1.2.3.tar.gz(r-4.6-arm64)BNPmix_1.2.3.tar.gz(r-4.6-x86_64)
BNPmix_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BNPmix/json (API)
| # Install 'BNPmix' in R: |
| install.packages('BNPmix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e7011858e8. Checks:9 OK, 1 ERROR. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 330 | ||
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | ERROR | 361 | ||
| linux-release-arm64 | OK | 185 | ||
| linux-release-x86_64 | OK | 226 | ||
| windows-devel-arm64 | OK | 312 | ||
| windows-devel-x86_64 | OK | 308 | ||
| windows-release-arm64 | OK | 305 | ||
| windows-release-x86_64 | OK | 208 | ||
| wasm-release | OK | 148 |
Exports:BNPdens2codaBNPdens2coda.BNPdensBNPmix_BINBNPmix_psmBNPmix_VI_LBBNPpartclean_partitiondBNPdensdBNPdens.BNPdensDDPdensitypartitionpartition.BNPdensplot.BNPdensprint.BNPdensPYcalibratePYdensityPYregressionsummary.BNPdens
Dependencies:abindbackportsbootbroomcarcarDataclicodacolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppDistRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
R packages: LaTeX vignettes
Last update: 2021-11-23
Started: 2021-07-25
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| BNPdens class constructor | BNPdens |
| Export to coda interface | BNPdens2coda.BNPdens |
| BNPpart class constructor | BNPpart |
| Evaluate estimated univariate densities at a given point | dBNPdens.BNPdens |
| MCMC for GM-dependent Dirichlet process mixtures of Gaussians | DDPdensity |
| Estimate the partition of the data | partition.BNPdens |
| Density plot for BNPdens class | plot.BNPdens |
| BNPdens print method | print.BNPdens |
| Pitman-Yor prior elicitation | PYcalibrate |
| MCMC for Pitman-Yor mixtures of Gaussians | PYdensity |
| MCMC for Pitman-Yor mixture of Gaussian regressions | PYregression |
| BNPdens summary method | summary.BNPdens |