Other packages > Find by keyword >

baselinenowcast  

Baseline Nowcasting for Right-Truncated Epidemiological Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("baselinenowcast", "0.2.0")



Attach the package and use:
library("baselinenowcast")
Maintained by
Kaitlyn Johnson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-03
Latest Update: 2026-02-03
Description:
Nowcasting right-truncated epidemiological data is critical for timely public health decision-making, as reporting delays can create misleading impressions of declining trends in recent data. This package provides nowcasting methods based on using empirical delay distributions and uncertainty from past performance. It is also designed to be used as a baseline method for developers of new nowcasting methods. For more details on the performance of the method(s) in this package applied to case studies of COVID-19 and norovirus, see our recent paper at <https://wellcomeopenresearch.org/articles/10-614>. The package supports standard data frame inputs with reference date, report date, and count columns, as well as the direct use of reporting triangles, and is compatible with 'epinowcast' objects. Alongside an opinionated default workflow, it has a low-level pipe-friendly modular interface, allowing context-specific workflows. It can accommodate a wide spectrum of reporting schedules, including mixed patterns of reference and reporting (daily-weekly, weekly-daily). It also supports sharing delay distributions and uncertainty estimates between strata, as well as custom uncertainty models and delay estimation methods.
How to cite:
Kaitlyn Johnson (2026). baselinenowcast: Baseline Nowcasting for Right-Truncated Epidemiological Data. R package version 0.2.0, https://cran.r-project.org/web/packages/baselinenowcast. Accessed 27 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited baselinenowcast R package
View baselinenowcast citation profile
Other R packages that baselinenowcast depends, imports, suggests or enhances
Complete documentation for baselinenowcast
Functions, R codes and Examples using the baselinenowcast R package
Full baselinenowcast package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AzureKeyVault  
Key and Secret Management in 'Azure'
Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: ...
Download / Learn more Package Citations See dependency  
AHSurv  
Flexible Parametric Accelerated Hazards Models
Flexible parametric Accelerated Hazards (AH) regression models in overall and relative survival fram ...
Download / Learn more Package Citations See dependency  
PeakSegOptimal  
Optimal Segmentation Subject to Up-Down Constraints
Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subj ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
assert  
Validate Function Arguments
Lightweight validation tool for checking function arguments and validating data analysis scripts. T ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA