CRAN/E | gimme

gimme

Group Iterative Multiple Model Estimation

Installation

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.

github.com/GatesLab/gimme/
tarheels.live/gimme/tutorials/
Bug report File report

Key Metrics

Version 0.7-16
R ≥ 3.5.0
Published 2024-01-31 88 days ago
Needs compilation? no
License GPL-2
CRAN checks gimme results

Downloads

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Maintainer

Maintainer

Kathleen M Gates

gateskm@email.unc.edu

Authors

Stephanie Lane

aut / trl

Kathleen Gates

aut / cre / ccp

Zachary Fisher

aut

Cara Arizmendi

aut

Peter Molenaar

aut / ccp

Edgar Merkle

ctb

Michael Hallquist

ctb

Hallie Pike

ctb

Teague Henry

ctb

Kelly Duffy

ctb

Lan Luo

ctb

Adriene Beltz

csp

Aidan Wright

csp

Jonathan Park

ctb

Sebastian Castro Alvarez

ctb

Material

Reference manual
Package source

In Views

Psychometrics

Vignettes

GIMME

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gimme archive

Depends

R ≥ 3.5.0

Imports

lavaan ≥ 0.6-17
igraph ≥ 1.0-0
qgraph
data.tree
MIIVsem ≥ 0.5.4
imputeTS ≥ 3.0
nloptr
graphics
stats
MASS
tseries

Suggests

knitr
rmarkdown