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Group Iterative Multiple Model Estimation

0packages depend
9Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) doi:10.1016/j.neuroimage.2012.06.026.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 10.0
READMEYes · 1,033 wordsVignettesYes · 1 · staticNEWSNoCitation fileNoWebsiteYes
Help pages
44 (32 internal)includes a package overview page
Examples that run
20%1 run in a plain check · 4 never run
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
17%
Help pages citing references
2%
Vignettes (1)

Downloads

9K
CRAN downloads in the past year
Rank #4,151 · ~25/day · ~750/mo
Daily download trend is not available in this view yet.
93730 days
2.2K90 days
9K1 year
Compare downloads with other packages →
Also on137 r2u7 autocran139 c2d4u

Repository

32Stars
18Forks
0Open issues
0Open PRs
0Releases
633Commits
15Commit identities
633 commits · Last activity 2026-06-11 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
84%
Median days to close, 50 most recently updated closed issues
62
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-10-12 · 272026-09-10 · 32
PracticesBeta

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

Checks run against github.com/gateslab/gimme on 2026-10-22.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing gimme adds 120 packages (67 with compiled code, 97 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (16)
Author, Maintainer since 0.5-0 (2019), ccp
Author · added in 0.3-1
Author · added in 0.3-1
Author, Translator
Author, ccp · added in 0.1-2
Contributor · added in 0.7-5
Contributor · added in 0.5-0
Contributor · added in 0.1-3
Contributor · added in 0.4
Contributor · added in 0.6-0
Contributor · added in 0.7-11
Contributor · added in 0.7-5
Contributor · added in 0.1-3
Show 1 more contributorHide 1 contributor
Contributor
csp · added in 0.6-1
csp · added in 0.7-5

Previously maintained by Stephanie Lane (0.1 to 0.4-2).

Listed in earlier versions (4)
Show 4 peopleHide 4 people
no longer listed · 0.1-2 to 0.7-18
Alvarez
no longer listed · 0.8 to 10.0
Gates
no longer listed · 0.8 to 10.0
Siepe
no longer listed · 0.9.2 to 10.0
Releases (48)

Pick two releases to compare their code metrics.

Show 45 earlier eventsHide 45 earlier events

Package metadata

First published
2014-12-12
Total releases
48 / 12 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
1.4 MB / 5 files
Download size
1.6 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gimme")
Gates, K. M., Alvarez, S. C., Arizmendi, C., Beltz, A., Duffy, K., Fisher, Z., Hallquist, M., Henry, T., Lane, S., Luo, L., Merkle, E., Molenaar, P., Park, J., Pike, H., Siepe, B., & Wright, A. (2026). gimme: Group Iterative Multiple Model Estimation (Version 10.0) [Computer software]. https://doi.org/10.32614/CRAN.package.gimme

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 gimme version 10.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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