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gimme  

Group Iterative Multiple Model Estimation
View on CRAN: Click here


Download and install gimme package within the R console
Install from CRAN:
install.packages("gimme")

Install from Github:
library("remotes")
install_github("cran/gimme")

Install by package version:
library("remotes")
install_version("gimme", "0.7-18")



Attach the package and use:
library("gimme")
Maintained by
Kathleen M Gates
[Scholar Profile | Author Map]
First Published: 2014-12-12
Latest Update: 2024-01-31
Description:
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) .
How to cite:
Kathleen M Gates (2014). gimme: Group Iterative Multiple Model Estimation. R package version 0.7-18, https://cran.r-project.org/web/packages/gimme. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.1-1 (2014-12-16 01:20), 0.1-2 (2015-09-11 18:53), 0.1-3 (2015-10-05 22:56), 0.1-4 (2015-10-16 20:30), 0.1-5 (2015-10-20 21:13), 0.1-6 (2015-10-27 16:33), 0.1-7 (2016-06-17 08:18), 0.1 (2014-12-12 20:34), 0.2-0 (2016-11-20 16:40), 0.2-1 (2017-03-23 16:01), 0.2-2 (2017-05-19 18:16), 0.3-1 (2017-10-27 12:44), 0.3-2 (2017-12-15 18:43), 0.3-3 (2018-03-18 00:38), 0.4-1 (2018-06-30 19:04), 0.4-2 (2018-08-26 21:02), 0.4 (2018-05-20 15:29), 0.5-0 (2019-02-20 23:10), 0.5-1 (2019-02-28 19:00), 0.6-0 (2019-05-23 23:30), 0.6-1 (2019-09-13 06:40), 0.7-1 (2020-02-15 21:00), 0.7-2 (2020-09-03 22:02), 0.7-3 (2020-09-23 22:40), 0.7-4 (2020-10-14 21:30), 0.7-5 (2021-03-23 17:40), 0.7-6 (2021-08-19 21:50), 0.7-7 (2021-10-19 00:50), 0.7-8 (2022-08-10 00:30), 0.7-9 (2022-12-02 21:10), 0.7-10 (2022-12-15 17:00), 0.7-11 (2023-02-28 19:12), 0.7-12 (2023-03-17 00:50), 0.7-13 (2023-03-22 09:30), 0.7-14 (2023-06-13 18:50), 0.7-15 (2023-08-29 19:50), 0.7-16 (2024-01-31 21:30), 0.7-17 (2024-05-21 23:10)
Other packages that cited gimme R package
View gimme citation profile
Other R packages that gimme depends, imports, suggests or enhances
Complete documentation for gimme
Functions, R codes and Examples using the gimme R package
Some associated functions: HRFsim . aggSEM . batch.create.tree . convolve . count.excellent . create.tree . determine.subgroups . expand.grid.unique . final.org . fit.model . get.params . gimme-package . gimmeSEM . gimmems.write . highest.mi . indSEM . indiv.search.ms . indiv.search . lowest.z . ms.fit . predict.gimme . prune.paths . recode.vars . residuals.gimme . return.mis . return.zs . sFIR . search.paths.ms . search.paths . setupBaseSyntax . setupDataLists . setupMultVarNames . setupPrelimDataChecks . setupPrepPaths . setupTransformData . simData . simDataLV . simulateVAR . solution.tree . subgroupStage . summaryPathsCounts . ts . w2e . 
Some associated R codes: aggSEM.R . batch.create.tree.R . count.excellent.R . create.tree.R . determine.subgroups.R . expand.grid.unique.R . final.org.R . fit.model.R . get.params.R . gimme-data.R . gimme-pkg.R . gimme.R . gimmems.write.R . highest.mi.R . indSEM.R . indiv.search.R . indiv.search.ms.R . lowest.z.R . miiv.aux.R . predict.gimme.R . print.aggSEMp.R . print.gimmep.R . print.indSEMp.R . prune.paths.R . recode.vars.R . residuals.gimme.R . return.mis.R . return.zs.R . sFIR.R . search.paths.R . search.paths.ms.R . setup.R . setupBaseSyntax.R . setupConvolve.R . setupDataLists.R . setupMultVars.R . setupPrelimDataChecks.R . setupPrepPaths.R . setupTransformData.R . simulateVAR.R . solution.tree.R . sparsity.optimization.R . subgroupStage.R . summaryPathsCounts.R . w2e.R .  Full gimme package functions and examples
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