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Fix DESCRIPTION and resubmit to CRAN
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DESCRIPTION

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

NEWS.md

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# 2.0.4
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* Fixes a slight mistake in the table for the Gen F. Now works properly on the beta coefficients
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* Updates DESCRIPTION with details of installatin for the add-ons `survHEinla` and `survHEhmc`
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# 2.0.3
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man/survHE-package.Rd

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