expertsurv: Incorporate Expert Opinion with Parametric Survival Models

Enables users to incorporate expert opinion with parametric survival analysis using a Bayesian or frequentist approach. Expert Opinion can be provided on the survival probabilities at certain time-point(s) or for the difference in mean survival between two treatment arms. Please reference it's use as Cooney, P., White, A. (2023) <doi:10.1177/0272989X221150212>.

Version: 1.4.0
Depends: R (≥ 3.5.0), survival
Imports: abind, assertthat, dplyr, generics, ggplot2, magrittr (≥ 2.0), Matrix, numDeriv, purrr, Rcpp (≥ 0.12.0), Rdpack, rlang, rms, rstan (≥ 2.26.0), rstantools (≥ 2.2.0), rstpm2, scales, SHELF, statmod, stats, stringr, tibble, tidyr, tidyselect, utils, broom, sn, muhaz, mvtnorm, quadprog
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppArmadillo, RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), splines2, StanHeaders (≥ 2.26.0)
Suggests: rmarkdown, bookdown, knitr, rjags, R2jags, loo, xlsx, shiny, shinyWidgets, shinycssloaders, shinyjs, shinyMatrix, shinybusy, ggpubr, splines2, survminer, colorspace, testthat, covr, eha
Published: 2025-02-20
DOI: 10.32614/CRAN.package.expertsurv
Author: Philip Cooney ORCID iD [aut, cre], Arthur White ORCID iD [ths]
Maintainer: Philip Cooney <phcooney at tcd.ie>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: expertsurv citation info
Materials: README
CRAN checks: expertsurv results

Documentation:

Reference manual: expertsurv.pdf
Vignettes: Introduction to Expertsurv (source, R code)
Shiny-expertsurv-Vignette (source, R code)

Downloads:

Package source: expertsurv_1.4.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: expertsurv_1.4.0.zip
macOS binaries: r-devel (arm64): expertsurv_1.4.0.tgz, r-release (arm64): expertsurv_1.4.0.tgz, r-oldrel (arm64): expertsurv_1.4.0.tgz, r-devel (x86_64): expertsurv_1.4.0.tgz, r-release (x86_64): expertsurv_1.4.0.tgz, r-oldrel (x86_64): expertsurv_1.4.0.tgz
Old sources: expertsurv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=expertsurv to link to this page.