Package: bspcov 0.0.0

Kyeongwon Lee

bspcov: Bayesian Sparse Estimation of a Covariance Matrix

Provides functions which perform Bayesian estimations of a covariance matrix for multivariate normal data. Assumes that the covariance matrix is sparse or band matrix and positive-definite. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea ('NRF') funded by the Ministry of Education ('RS-2023-00211979', 'NRF-2022R1A5A7033499', 'NRF-2020R1A4A1018207' and 'NRF-2020R1C1C1A01013338').

Authors:Kwangmin Lee [aut], Kyeongwon Lee [aut, cre], Kyoungjae Lee [aut], Seongil Jo [aut], Jaeyong Lee [ctb]

bspcov_0.0.0.tar.gz
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bspcov.pdf |bspcov.html
bspcov/json (API)

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

Bug tracker:https://github.com/statjs/bspcov/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 3 scripts 597 downloads 7 exports 112 dependencies

Last updated 5 months agofrom:b12b4cfb2b. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:bandPPPbmspcovcv.bandPPPcv.thresPPPestimatesbmspcovthresPPP

Dependencies:BayesFactorBHcaretCholWishartclasscliclockcodacodetoolscolorspacecontfraccpp11crayondata.tabledeSolvediagramdigestdplyre1071ellipticfansifarverFinCovRegularizationFNNforcatsforeachfurrrfuturefuture.applygenericsGGallyggmcmcggplot2ggstatsGIGrvgglobalsgluegowergtablehardhathmshypergeoipredisobanditeratorskernlabKernSmoothkslabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmatrixcalcMatrixModelsmatrixStatsmclustmgcvModelMetricsmulticoolmunsellmvnfastmvtnormnlmennetnumDerivparallellypatchworkpbapplypillarpkgconfigplyrpracmaprettyunitspROCprodlimprogressprogressrproxypurrrquadprogR6RColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2rlangrpartRSpectrascalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr