11Package: survHE
22Title: Survival Analysis in Health Economic Evaluation
33Version: 2.0.4
4- Date: 2025-03-07
4+ Date: 2025-05-15
55Authors@R: c(
66 person(given = "Gianluca",family = "Baio",role = c("aut", "cre"),email = "g.baio@ucl.ac.uk"),
77 person("Andrea","Berardi",role="ctb",email="and.be.like@gmail.com"),
@@ -14,10 +14,12 @@ Description: Contains a suite of functions for survival analysis in health econo
1414 These can be used to run survival models under a frequentist (based on maximum likelihood)
1515 or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian
1616 Monte Carlo). To run the Bayesian models, the user needs to install additional modules
17- (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using
18- 'remotes::install_github' from their GitHub repositories:
19- (<https://github.com/giabaio/survHEhmc> and <https://github.com/giabaio/survHEinla/>
20- respectively). 'survHEinla' is based on the package INLA, which is available for download at
17+ (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed from
18+ <https://giabaio.r-universe.dev/> using
19+ 'install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
20+ and
21+ 'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
22+ respectively. 'survHEinla' is based on the package INLA, which is available for download at
2123 <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models
2224 using a common notation and select the preferred mode of inference. The results can also be
2325 post-processed to produce probabilistic sensitivity analysis and can be used to export the
@@ -52,4 +54,3 @@ Additional_repositories:
5254 https://inla.r-inla-download.org/R/stable/,
5355 https://giabaio.r-universe.dev/
5456SystemRequirements: GNU make
55- NeedsCompilation: yes
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