Package: BayesDecon 0.1.6

Mainak Manna

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
BayesDecon_0.1.6.tar.gz(r-4.7-arm64)BayesDecon_0.1.6.tar.gz(r-4.7-x86_64)BayesDecon_0.1.6.tar.gz(r-4.6-arm64)BayesDecon_0.1.6.tar.gz(r-4.6-x86_64)
BayesDecon_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesDecon/json (API)

# Install 'BayesDecon' in R:
install.packages('BayesDecon', repos = c('https://cran.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 535 downloads 4 exports 29 dependencies

Last updated from:3623932f9d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK242
linux-devel-x86_64OK235
source / vignettesOK244
linux-release-arm64OK224
linux-release-x86_64OK226
wasm-releaseOK173

Exports:autoplot.bdeconv_resultbdeconvdens_xdist_x

Dependencies:clicorpcorexpmFNNgenericsgluekernlabKernSmoothkslatticelifecyclemagrittrMatrixmclustmgcvmsmmulticoolmvtnormnlmepillarpkgconfigpracmaRcppRcppArmadillorlangsurvivaltibbleutf8vctrs