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Multiple Aggregation Prediction Algorithm

2packages depend
19.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) doi:10.1016/j.ijforecast.2013.09.006.

Changes in 2.0.7
  • Removed deprecated plotmapa function. Use plot instead.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.7
READMEYes · 80 wordsVignettesNoNEWSYes · 100% structured · mentions 2.0.7Citation fileYes · cites a publicationWebsiteYes
Help pages
8
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
84%
Return-value docs
100%
Help pages citing references
75%

Downloads

19.5K
CRAN downloads in the past year
Rank #3,016 · ~54/day · ~1.6K/mo
Daily download trend is not available in this view yet.
2.3K30 days
4.4K90 days
19.5K1 year
Compare downloads with other packages →
Also on262 r2u4 autocran129 c2d4u

Repository

15Stars
6Forks
6Open issues
0Open PRs
1Releases
45Commits
2Commit identities
45 commits · Last activity 2023-11-16 · The default branch showed an older version (2.0.6) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
12
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2023-07-15 · 152026-07-07 · 15
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/trnnick/mapa on 2026-10-18.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing MAPA adds 42 packages (26 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, smooth 3.4 MB, greybox 2.5 MB.

Depends (4)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
23indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 1.2 (2014)
Releases (15)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.7Latest
    record
    2024-03-05 · current release · diff ↗ ·
    removed 1 export
    plotmapa
  • 2.0.6
    record
    2023-11-16 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.0.5
    record
    2022-07-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 2.0.4
    record
    2018-01-05 · diff ↗
  • 2.0.2
    record
    2017-06-06 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0.1
    record
    2016-11-08 · diff ↗
Show 13 earlier eventsHide 13 earlier events

Package metadata

First published
2014-03-24
Total releases
15 / 12 yrs
License
GPL (>= 2) OSI
Bundled data
0.4 KB / 1 file
Download size
24 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MAPA")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MAPA version 2.0.7 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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