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survinger: Design-Adjusted Inference for Pathogen Lineage Surveillance

Provides tools for optimizing sequencing resource allocation and estimating pathogen lineage prevalence under real-world genomic surveillance conditions. Implements constrained allocation optimization for limited sequencing capacity across multiple regions and sample sources. Includes Horvitz-Thompson and post-stratified estimators that account for unequal sequencing rates, delay-adjusted nowcasting for right-censored reporting data, and combined design-weighted delay-corrected inference with uncertainty propagation.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: checkmate (≥ 2.0.0), cli (≥ 3.0.0), dplyr (≥ 1.1.0), generics, ggplot2 (≥ 3.4.0), methods, purrr, rlang (≥ 1.0.0), stats, tibble
Suggests: MASS, Matrix, nloptr (≥ 2.0.0), survey, tidyr, vctrs, covr, knitr, rmarkdown, scales, testthat (≥ 3.0.0), withr
Published: 2026-04-05
DOI: 10.32614/CRAN.package.survinger
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei at gmail.com>
BugReports: https://github.com/CuiweiG/survinger/issues
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/survinger
NeedsCompilation: no
Language: en-US
Citation: survinger citation info
Materials: README, NEWS
CRAN checks: survinger results

Documentation:

Reference manual: survinger.html , survinger.pdf
Vignettes: Optimizing Sequencing Resource Allocation (source, R code)
Delay-Adjusted Nowcasting (source, R code)
Real-World Case Study: European COVID-19 Genomic Surveillance (source, R code)
Introduction to survinger (source, R code)

Downloads:

Package source: survinger_0.1.1.tar.gz
Windows binaries: r-devel: survinger_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): survinger_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: survinger archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.