Package: survHE 2.0.2

Gianluca Baio

survHE: Survival Analysis in Health Economic Evaluation

Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using 'remotes::install_github' from their GitHub repositories: (<https://github.com/giabaio/survHEhmc> and <https://github.com/giabaio/survHEinla/> respectively). 'survHEinla' is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.

Authors:Gianluca Baio [aut, cre], Andrea Berardi [ctb], Philip Cooney [ctb], Andrew Jones [ctb], Nathan Green [ctb]

survHE_2.0.2.tar.gz
survHE_2.0.2.tar.gz(r-4.5-noble)survHE_2.0.2.tar.gz(r-4.4-noble)
survHE_2.0.2.tgz(r-4.4-emscripten)
survHE.pdf |survHE.html
survHE/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT
Datasets:
  • data - A fictional survival trial.
  • msmdata - NICE TA174 dataset in multi-state format.
  • ta174 - NICE TA174 dataset.

openjdk

3.56 score 2 packages 61 scripts 618 downloads 2 mentions 16 exports 101 dependencies

Last updated 2 months agofrom:6021115143. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxOKDec 04 2024

Exports:digitisefit.modelsmake_data_multi_statemake_newdatamake.ipdmake.survmake.transition.probsmarkov_tracemodel.fit.plotplot_transformed_kmplot.survHEprint.survHEpsa.plotsummary.survHEthree_state_mmwrite.surv

Dependencies:assertthatbackportsbase64encbbmlebdsmatrixBHbslibcachemcheckmatecliclustercodetoolscolorspacecpp11data.tabledeSolvedigestdplyrevaluatefansifarverfastGHQuadfastmapflexsurvfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemstatemuhazmultcompmunsellmvtnormnlmennetnumDerivpillarpkgconfigpolsplinepurrrquadprogquantregR6rappdirsRColorBrewerRcppRcppArmadillorJavarlangrmarkdownrmsrpartrstpm2rstudioapisandwichsassscalesSparseMstatmodstringistringrsurvivalTH.datatibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxlsxxlsxjarsyamlzoo