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-4.5)BNSP_2.2.3.zip(r-4.4)BNSP_2.2.3.zip(r-4.3)
BNSP_2.2.3.tgz(r-4.4-x86_64)BNSP_2.2.3.tgz(r-4.4-arm64)BNSP_2.2.3.tgz(r-4.3-x86_64)BNSP_2.2.3.tgz(r-4.3-arm64)
BNSP_2.2.3.tar.gz(r-4.5-noble)BNSP_2.2.3.tar.gz(r-4.4-noble)
BNSP_2.2.3.tgz(r-4.4-emscripten)BNSP_2.2.3.tgz(r-4.3-emscripten)
BNSP.pdf |BNSP.html✨
BNSP/json (API)

# Install 'BNSP' in R:
install.packages('BNSP', repos = c('https://papgeo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • ami - Amitriptyline dataset from Johnson and Wichern
  • simD - Simulated dataset
  • simD2 - Simulated dataset

On CRAN:

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

1.00 score 1 stars 578 downloads 14 exports 67 dependencies

Last updated 1 years agofrom:413e0a4202. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-win-x86_64OKOct 14 2024
R-4.5-linux-x86_64OKOct 14 2024
R-4.4-win-x86_64OKOct 14 2024
R-4.4-mac-x86_64OKOct 14 2024
R-4.4-mac-aarch64OKOct 14 2024
R-4.3-win-x86_64OKOct 14 2024
R-4.3-mac-x86_64OKOct 14 2024
R-4.3-mac-aarch64OKOct 14 2024

Exports:cholclusteringcontinuedpmjhistCorrlmrmmvrmmvrm2mcmcplotCorrssinusoidsmteti

Dependencies:base64encbslibcachemclicodacolorspacecombinatcorrplotcpp11crosstalkcubaturedigestevaluatefansifarverfastmapfontawesomeFormulafsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabel.switchinglabelinglatticelazyevallifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemisc3dmunsellnlmepillarpkgconfigplot3DplyrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesthreejstibbletinytexutf8vctrsviridisLitewithrxfunyaml