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survinger  

Design-Adjusted Inference for Pathogen Lineage Surveillance
View on CRAN: Click here


Download and install survinger package within the R console
Install from CRAN:
install.packages("survinger")

Install from Github:
library("remotes")
install_github("cran/survinger")

Install by package version:
library("remotes")
install_version("survinger", "0.1.1")



Attach the package and use:
library("survinger")
Maintained by
Cuiwei Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-05
Latest Update: 2026-04-05
Description:
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.
How to cite:
Cuiwei Gao (2026). survinger: Design-Adjusted Inference for Pathogen Lineage Surveillance. R package version 0.1.1, https://cran.r-project.org/web/packages/survinger. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 0.1.0 (2026-04-02 22:10)
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Complete documentation for survinger
Functions, R codes and Examples using the survinger R package
Full survinger package functions and examples
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