Package: BDIB 0.1.1

Saijun Zhao

BDIB: Bayesian Dynamic Information Borrowing for Longitudinal Data with Informative Dropout

Implements 'BDIB' (Bayesian dynamic information borrowing) for longitudinal outcomes with informative dropout. The package provides the mixture prior for longitudinal data borrowing (MLB) and the self-adapting mixture prior for longitudinal data information borrowing (SLB). Both methods use a shared-parameter model for outcomes and dropout.

Authors:Saijun Zhao [aut, cre]

BDIB_0.1.1.tar.gz
BDIB_0.1.1.zip(r-4.7-any)BDIB_0.1.1.zip(r-4.6-any)
BDIB_0.1.1.tar.gz(r-4.7-any)BDIB_0.1.1.tar.gz(r-4.6-any)
BDIB_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BDIB/json (API)

# Install 'BDIB' in R:
install.packages('BDIB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

jagscpp

1.00 score 7 exports 72 dependencies

Last updated from:b633d19021. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK143
source / vignettesOK210
linux-releaseOK172
windows-develOK103
windows-releaseOK105
wasm-releaseOK135

Exports:fit_spm_jagsgaussian_kdegenerate_spmMixpriorMLB_SLB_anlaysisSLB_weightunit_information_prior

Dependencies:abindassertthatbackportsbayesplotBHcallrcheckmateclicodacpp11descdistributionaldplyrfarverFormulagenericsggdistggplot2ggridgesgluegridExtragtableinlineisobandjagsUIjsonlitelabelinglatticelifecycleloomagrittrmatrixStatsmvtnormnumDerivotelpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RBesTrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreshape2rjagsrlangrstanrstantoolsS7scalesStanHeadersstatmodstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr