Package: BNPmix 1.0.2
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_1.0.2.tar.gz
BNPmix_1.0.2.tar.gz(r-4.5-noble)BNPmix_1.0.2.tar.gz(r-4.4-noble)
BNPmix_1.0.2.tgz(r-4.4-emscripten)BNPmix_1.0.2.tgz(r-4.3-emscripten)
BNPmix.pdf |BNPmix.html✨
BNPmix/json (API)
| # Install 'BNPmix' in R: |
| install.packages('BNPmix', 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 2 years agofrom:820b3d670b. Checks:ERROR: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Oct 01 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 01 2024 |
Exports:BNPdens2codaBNPdens2coda.BNPdensBNPmix_BINBNPmix_psmBNPmix_VI_LBBNPpartclean_partitiondBNPdensdBNPdens.BNPdensDDPdensitypartitionpartition.BNPdensplot.BNPdensprint.BNPdensPYcalibratePYdensityPYregressionsummary.BNPdens
Dependencies:abindbackportsbootbroomcarcarDataclicodacolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppArmadilloRcppDistRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
R packages: LaTeX vignettes
Rendered fromBNPmix.ltxusingR.rsp::texon Oct 01 2024.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 |
