Multiple Time Series Scanner
Overview
Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.
Bug fixes and minor improvements
- Fixed
case_when()warnings introduced indplyrv1.2.0
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 15 (1 internal)includes a package overview page
- Examples that run
- 67%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 3 never run
- Exported functions with examples
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 89%
- Median days to close, 50 most recently updated closed issues
- 34
- Median days to close, 50 most recently updated closed PRs
- 0
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14 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/ropensci/mantis on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-07-30 · The repository has a site deploy workflow
pkgdown site last built 2026-03-26
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Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-07-28
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 15 KB / 2 files
- Download size
- 1.1 MB
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