Package: expertsurv
Title: Incorporate Expert Opinion with Parametric Survival Models
Version: 1.4.0
Date: 2025-02-17
Authors@R: 
    c(person(given = "Philip",
           family = "Cooney",
           role = c("aut", "cre"),
           email = "phcooney@tcd.ie",
           comment = c(ORCID = "0000-0001-9649-0195")),
     person(given = "Arthur",
           family = "White",
           role = "ths",
           comment = c(ORCID = "0000-0002-7268-5163")))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.2
Biarch: true
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)
SystemRequirements: GNU make
Suggests: rmarkdown, bookdown, knitr, rjags, R2jags, loo, xlsx, shiny,
        shinyWidgets, shinycssloaders, shinyjs, shinyMatrix, shinybusy,
        ggpubr, splines2, survminer, colorspace, testthat, covr, eha
VignetteBuilder: knitr
RdMacros: Rdpack
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-02-19 15:25:05 UTC; phili
Author: Philip Cooney [aut, cre] (<https://orcid.org/0000-0001-9649-0195>),
  Arthur White [ths] (<https://orcid.org/0000-0002-7268-5163>)
Maintainer: Philip Cooney <phcooney@tcd.ie>
Repository: CRAN
Date/Publication: 2025-02-20 18:00:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-10-13 13:02:16 UTC; windows
Archs: x64
