Package: BNSP 2.2.3

BNSP: Bayesian Non- And Semi-Parametric Model Fitting

MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi:10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi:10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) <doi:10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi:10.1111/anzs.12273>.

Authors:Georgios Papageorgiou

BNSP_2.2.3.tar.gz
BNSP_2.2.3.zip(r-4.7)BNSP_2.2.3.zip(r-4.6)BNSP_2.2.3.zip(r-4.5)
BNSP_2.2.3.tgz(r-4.6-x86_64)BNSP_2.2.3.tgz(r-4.6-arm64)BNSP_2.2.3.tgz(r-4.5-x86_64)BNSP_2.2.3.tgz(r-4.5-arm64)
BNSP_2.2.3.tar.gz(r-4.7-arm64)BNSP_2.2.3.tar.gz(r-4.7-x86_64)BNSP_2.2.3.tar.gz(r-4.6-arm64)BNSP_2.2.3.tar.gz(r-4.6-x86_64)
BNSP_2.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BNSP/json (API)

# Install 'BNSP' in R:
install.packages('BNSP', repos = c('https://papgeo.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • ami - Amitriptyline dataset from Johnson and Wichern
  • simD - Simulated dataset
  • simD2 - Simulated dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

gsl

1.00 score 1 stars 1 scripts 310 downloads 14 exports 61 dependencies

Last updated from:413e0a4202. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK223
linux-devel-x86_64OK213
source / vignettesOK222
linux-release-arm64OK216
linux-release-x86_64OK215
macos-release-arm64OK244
macos-release-x86_64OK475
macos-oldrel-arm64OK209
macos-oldrel-x86_64OK552
windows-develOK169
windows-releaseOK152
windows-oldrelOK153
wasm-releaseOK135

Exports:cholclusteringcontinuedpmjhistCorrlmrmmvrmmvrm2mcmcplotCorrssinusoidsmteti

Dependencies:base64encbslibcachemclicodacombinatcorrplotcpp11crosstalkcubaturedigestevaluatefarverfastmapfontawesomeFormulafsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabel.switchinglabelinglatticelazyevallifecyclelpSolvemagrittrMatrixmemoisemgcvmimemisc3dnlmepkgconfigplot3DplyrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesthreejstinytexvctrsviridisLitewithrxfunyaml