butterfly: Verification for Continually Updating Time Series Data
Verification of continually updating time series data where we
expect new values, but want to ensure previous data remains unchanged. Data
previously recorded could change for a number of reasons, such as discovery
of an error in model code, a change in methodology or instrument recalibration.
Monitoring data sources for these changes is not always possible. Other unnoticed
changes could include a jump in time or measurement frequency, due to instrument
failure or software updates. Functionality is provided that can be
used to check and flag changes to previous data to prevent changes going
unnoticed, as well as unexpected jumps in time.
| Version: |
1.1.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli, dplyr, lifecycle, rlang, waldo |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2025-04-12 |
| Author: |
Thomas Zwagerman 
[aut, cre],
British Antarctic Survey [cph],
Quentin Read [rev] (Quentin reviewed the package (v. 1.1.0) for
rOpenSci, see
<https://github.com/ropensci/software-review/issues/676>) |
| Maintainer: |
Thomas Zwagerman <thozwa at bas.ac.uk> |
| BugReports: |
https://github.com/ropensci/butterfly/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://docs.ropensci.org/butterfly/,
https://github.com/ropensci/butterfly/ |
| NeedsCompilation: |
no |
| Citation: |
butterfly citation info |
| Materials: |
README NEWS |
| CRAN checks: |
butterfly results |
Documentation:
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