Learn R Programming
⚠️There's a newer version (0.8) of this package.Take me there.

gimme (version 0.7-16)

Group Iterative Multiple Model Estimation

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) .

Copy Link

Version

Install

install.packages('gimme')

Monthly Downloads

632

Version

0.7-16

License

GPL-2

Issues

0

Pull Requests

0

Stars

28

Forks

16

Maintainer

KM Gates

Last Published

January 31st, 2024

Functions in gimme (0.7-16)

fit.model

Attempt to fit lavaan model.
aggSEM

Group-level structural equation model search.
setupBaseSyntax

Set up base syntax file.
search.paths.ms

Searches for paths. Ties together highest.mi and return.mis functions.
predict.gimme

GIMME Predicted Values.
gimmems.write

Write MS-GIMME results to data.frame.
w2e

Create edge list from weight matrix.
prune.paths

Prunes paths. Ties together lowest.z and return.zs functions.
gimmeSEM

Group iterative multiple model estimation.
solution.tree

Solution trees for multiple solutions gimme.
subgroupStage

Create structure of group search solutions.
setupDataLists

Create a list of dataframes
recode.vars

Recode variable names.
setupTransformData

Transform raw data as required.
setupMultVarNames

Get names for bilinear effects.
simData

Large example, heterogeneous data, group, subgroup, and individual level effects.
residuals.gimme

GIMME Residuals.
return.zs

Returns z values from lavaan fit object.
summaryPathsCounts

Create summary matrix of path counts and subgroup plots
ts

Small example, heterogeneous data, group and individual level effects
return.mis

Returns MIs from lavaan fit object.
setupPrepPaths

Allows user to open and close certain paths.
setupPrelimDataChecks

Do some preliminary checks on the data.
indSEM

Individual-level structural equation model search.
highest.mi

Identifies highest MI from list of MIs.
ms.fit

Fitted gimme object with multiple solutions
lowest.z

Identifies lowest z value from list of z values.
search.paths

Searches for paths. Ties together highest.mi and return.mis functions.
sFIR

Estimate response function for each person using smoothed Finite Impulse Response.
simDataLV

Latent variable example, heterogeneous data, group, subgroup level effects.
simulateVAR

Simulate data from Vector AutoRegression (VAR) models.
count.excellent

Counts number of excellent fit indices
HRFsim

Hemodynamic Response Function (HRF) GIMME example.
final.org

Wrapup, create output files.
expand.grid.unique

Provides unique combinations of two vectors.
create.tree

Create structure of group search solutions.
gimme-package

Group iterative multiple model estimation
convolve

Group iterative multiple model estimation.
batch.create.tree

Create tree structures for group search solutions.
get.params

Grabs final coefficients for each individual.
determine.subgroups

Determines subgroups.
indiv.search

Individual-level search. Used in gimmeSEM, aggSEM, indSEM.
indiv.search.ms

Individual-level search. Used in gimmeSEM, aggSEM, indSEM.