finalsize 0.2.1

This patch adds:

  1. Default values for the contact matrix, susceptibility matrix, and susceptibility distribution matrix to allow quick estimates of final size for a given \(R_0\) in a population with homogeneous mixing and full susceptibility (#180);

  2. Combines the documentation for the functions r_eff(), r0_to_lambda(), and lambda_to_r0() under the name ‘r0_conversions’;

  3. Adds vignettes on the theoretical background and on projecting re-emergence of a disease due to demographic turnover (#193, #194 by @adamkucharski);

  4. Streamlines the examples in the Readme;

  5. Replaces the PNG logo in the Readme with an SVG version;

  6. Updates the GitHub Actions workflow YAMLs, the .lintr config file, _pkgdown.yml, .Rbuildignore, CITATION.cff and CRAN-SUBMISSION; workflows and configuration files bring the package in line with {packagetemplate} (#181, #186, #188).

  7. Standardises the DESCRIPTION file.

  8. Adds package-level documentation.

  9. Adds spellchecking and the WORDLIST file.

  10. Adds tools to check that the package does not modify the global state, code to flag any partial matching of function arguments,.

  11. Updates references cited in the vignettes.

finalsize 0.2.0

This is the second release of finalsize, and includes:

  1. The package’s C++ code for the solver algorithms has been moved from source files under src/ into headers under inst/include/
  2. The package includes a package header under inst/include called finalsize.h, which allows other Rcpp packages to link to finalsize and reuse the solver algorithms provided here.
  3. Three helper functions have been added to:
  4. Two new vignettes have been added which are intended to serve as contextual background information for users:
  5. Package infrastructure has been modified:
  6. Updated file to track changes to the package.

finalsize 0.1

Initial release of finalsize, an R package to calculate the final size of an epidemic in a population with demographic variation in social contacts and in susceptibility to infection.

This release includes:

  1. A choice of equation solver functions.
  2. 100% code coverage,
  3. A basic usage vignette, and two advanced vignettes,
  4. Example data from the POLYMOD dataset obtained using the socialmixr R package,
  5. Workflows to render the vignettes and README as a website.