mantis
1.0.2Multiple 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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 75%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Repository practices
8 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/ropensci/mantis on 2026-08-09.
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Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mantis")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.