Package: survHEhmc 0.0.1

survHEhmc: Survival Analysis in Health Economic Evaluation using Hamiltonian Monte Carlo

A module to complement the backbone structure of the package 'survHE' and expand its functionality to run survival models under a Bayesian approach (based on Hamiltonian Monte Carlo). <doi:10.18637/jss.v095.i14>.

Authors:Gianluca Baio [aut, cre], Philip Cooney [ctb], Andrew Jones [ctb]

survHEhmc_0.0.1.tar.gz
survHEhmc_0.0.1.zip(r-4.5)survHEhmc_0.0.1.zip(r-4.4)
survHEhmc_0.0.1.tgz(r-4.4-x86_64)survHEhmc_0.0.1.tgz(r-4.4-arm64)
survHEhmc_0.0.1.tar.gz(r-4.5-noble)survHEhmc_0.0.1.tar.gz(r-4.4-noble)
survHEhmc.pdf |survHEhmc.html
survHEhmc/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/giabaio/survhehmc/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

hamiltonian-monte-carlohealth-economic-evaluationsrstansurvival-analysisuncertainty

2.88 score 5 stars 1 scripts 3 exports 120 dependencies

Last updated 7 days agofrom:a461b586a3. Checks:OK: 2 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-win-x86_64NOTENov 17 2024
R-4.5-linux-x86_64OKNov 17 2024
R-4.4-win-x86_64NOTENov 17 2024
R-4.4-mac-x86_64NOTENov 17 2024
R-4.4-mac-aarch64NOTENov 17 2024

Exports:poly.weibullrunHMCstanmodels

Dependencies:abindassertthatbackportsbase64encbbmlebdsmatrixBHbslibcachemcallrcheckmatecliclustercodetoolscolorspacecpp11data.tabledescdeSolvedigestdistributionaldplyrevaluatefansifarverfastGHQuadfastmapflexsurvfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinlineisobandjquerylibjsonliteknitrlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmimemstatemuhazmultcompmunsellmvtnormnlmennetnumDerivpillarpkgbuildpkgconfigpolsplineposteriorprocessxpspurrrquadprogquantregQuickJSRR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrJavarlangrmarkdownrmsrpartrstanrstantoolsrstpm2rstudioapisandwichsassscalesSparseMStanHeadersstatmodstringistringrsurvHEsurvivaltensorATH.datatibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxlsxxlsxjarsyamlzoo