Package: shrinkDSM 1.0.2

shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage

Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of dynamic survival models with shrinkage priors. Details on the algorithms used are provided in Wagner (2011) <doi:10.1007/s11222-009-9164-5>, Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020>.

Authors:Daniel Winkler [aut, cre], Peter Knaus [aut]

shrinkDSM_1.0.2.tar.gz
shrinkDSM_1.0.2.zip(r-4.7-x86_64)shrinkDSM_1.0.2.zip(r-4.7-arm64)shrinkDSM_1.0.2.zip(r-4.6-x86_64)shrinkDSM_1.0.2.zip(r-4.6-arm64)shrinkDSM_1.0.2.zip(r-4.5-x86_64)
shrinkDSM_1.0.2.tgz(r-4.6-x86_64)shrinkDSM_1.0.2.tgz(r-4.6-arm64)shrinkDSM_1.0.2.tgz(r-4.5-x86_64)shrinkDSM_1.0.2.tgz(r-4.5-arm64)
shrinkDSM_1.0.2.tar.gz(r-4.7-arm64)shrinkDSM_1.0.2.tar.gz(r-4.7-x86_64)shrinkDSM_1.0.2.tar.gz(r-4.6-arm64)shrinkDSM_1.0.2.tar.gz(r-4.6-x86_64)
shrinkDSM_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
shrinkDSM/json (API)

# Install 'shrinkDSM' in R:
install.packages('shrinkDSM', repos = c('https://dwinkler1.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • gastric - Survival times of gastric cancer patients

On CRAN:

Conda:

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

openblascpp

1.48 score 3 stars 2 scripts 367 downloads 4 exports 12 dependencies

Last updated from:94874682ad. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK142
linux-devel-x86_64OK139
source / vignettesOK198
linux-release-arm64OK141
linux-release-x86_64OK140
macos-release-arm64OK146
macos-release-x86_64OK462
macos-oldrel-arm64OK143
macos-oldrel-x86_64OK619
windows-devel-arm64OK369
windows-devel-x86_64OK175
windows-release-arm64OK370
windows-release-x86_64OK143
windows-oldrel-x86_64OK133
wasm-releaseOK109

Exports:divisionpointsprep_tvinputshrinkDSMSurv

Dependencies:codaGIGrvglatticeMatrixRcppRcppArmadilloRcppGSLRcppProgressshrinkTVPstochvolsurvivalzoo