Package: BNPmix 1.2.1

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:Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]

BNPmix_1.2.1.tar.gz
BNPmix_1.2.1.zip(r-4.7-x86_64)BNPmix_1.2.1.zip(r-4.7-arm64)BNPmix_1.2.1.zip(r-4.6-x86_64)BNPmix_1.2.1.zip(r-4.6-arm64)BNPmix_1.2.1.zip(r-4.5-x86_64)
BNPmix_1.2.1.tgz(r-4.6-x86_64)BNPmix_1.2.1.tgz(r-4.6-arm64)BNPmix_1.2.1.tgz(r-4.5-x86_64)BNPmix_1.2.1.tgz(r-4.5-arm64)
BNPmix_1.2.1.tar.gz(r-4.7-arm64)BNPmix_1.2.1.tar.gz(r-4.7-x86_64)BNPmix_1.2.1.tar.gz(r-4.6-arm64)BNPmix_1.2.1.tar.gz(r-4.6-x86_64)
BNPmix_1.2.1.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://rcorradin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rcorradin/bnpmix/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

4.75 score 8 stars 35 scripts 461 downloads 18 exports 78 dependencies

Last updated from:e99bf774f9. Checks:13 WARNING, 1 ERROR, 1 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	242
linux-devel-x86_64	WARNING	261
source / vignettes	ERROR	381
linux-release-arm64	WARNING	226
linux-release-x86_64	WARNING	232
macos-release-arm64	WARNING	181
macos-release-x86_64	WARNING	529
macos-oldrel-arm64	WARNING	165
macos-oldrel-x86_64	WARNING	321
windows-devel-arm64	WARNING	445
windows-devel-x86_64	WARNING	320
windows-release-arm64	WARNING	439
windows-release-x86_64	WARNING	245
windows-oldrel-x86_64	WARNING	183
wasm-release	OK	203

Exports:BNPdens2coda BNPdens2coda.BNPdens BNPmix_BIN BNPmix_psm BNPmix_VI_LB BNPpart clean_partition dBNPdens dBNPdens.BNPdens DDPdensity partition partition.BNPdens plot.BNPdens print.BNPdens PYcalibrate PYdensity PYregression summary.BNPdens

Dependencies:abind backports boot broom car carData cli coda colorspace corrplot cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppDist RcppEigen Rdpack reformulas rlang rstatix S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Citation

Development and contributors

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