Package: BayesDecon 0.1.6

BayesDecon: Density Deconvolution Using Bayesian Semiparametric Methods

Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2021) <doi:10.1080/01621459.2020.1782220>.

Authors:Blake Moya [aut], Mainak Manna [cre, aut], Abhra Sarkar [aut], The University of Texas at Austin [cph, fnd]

BayesDecon_0.1.6.tar.gz
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BayesDecon_0.1.6.tgz(r-4.6-x86_64)BayesDecon_0.1.6.tgz(r-4.6-arm64)BayesDecon_0.1.6.tgz(r-4.5-x86_64)BayesDecon_0.1.6.tgz(r-4.5-arm64)
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BayesDecon_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesDecon/json (API)

# Install 'BayesDecon' in R:
install.packages('BayesDecon', repos = c('https://mainakstat.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

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

openblascppopenmp

1.30 score 526 downloads 4 exports 29 dependencies

Last updated from:3623932f9d. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK216
linux-devel-x86_64OK215
source / vignettesOK217
linux-release-arm64OK230
linux-release-x86_64OK206
macos-release-arm64OK258
macos-release-x86_64OK845
macos-oldrel-arm64OK210
macos-oldrel-x86_64OK386
windows-develOK246
windows-releaseOK232
windows-oldrelOK263
wasm-releaseOK148

Exports:autoplot.bdeconv_resultbdeconvdens_xdist_x

Dependencies:clicorpcorexpmFNNgenericsgluekernlabKernSmoothkslatticelifecyclemagrittrMatrixmclustmgcvmsmmulticoolmvtnormnlmepillarpkgconfigpracmaRcppRcppArmadillorlangsurvivaltibbleutf8vctrs