Changes in version 1.1.2                        

Updates from v1.1.0: New maintainer Fixed tibble compatibility in
NobBS() and NobBS.strat() by replacing single-column data[, col]
extraction with vector-safe data[[col]] access.

                 Changes in version 1.1.0 (2025-05-07)                  

Updates from v1.0.0 include: Quantile estimates - NobBS now returns
quantile estimates to support quantile-based evaluation metrics such as
the Weighted Interval Score (WIS). Batched reports - Added functionality
to handle batched reporting of cases. Day-of-the-week effect -
Incorporated adjustments to account for systematic variations in
reporting by day of the week. Three new vignettes have been added to
demonstrate the usage of these features. The package maintainer has
changed from Sarah McGough to Rami Yaari.

                 Changes in version 1.0.0 (2024-01-08)                  

Updates to v. 0.1.0 (Initial Release) are major fixes to remove
deprecated tidyverse functions, replacing group_by_ with
group_by(!!sym()) and vars_select with standard select.

                 Changes in version 0.1.0 (2020-03-03)                  

See README.md for a full tutorial on using the NobBS package.

Updates to the development version include:

  - A function for stratified Bayesian nowcasting, NobBS.strat
  - An argument to specify the proportion_reported and inflate the
    estimated cases by that factor, important in outbreaks with severe
    under-reporting or asymptomatic cases.
  - Additional checks and warnings issued for impossible temporal
    combinations of moving window sizes, maximum delay D, and the length
    of the time series.
  - Warning issued when a case onset week is skipped in the time series
    or is missing reports altogether.
  - Plot examples

                     Changes in version 0.0.0.9000                      

NobBS (Nowcasting by Bayesian Smoothing) is a new R package that
produces smooth Bayesian nowcasts of incomplete, time-stamped reporting
data implemented from McGough et al. 2019.