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gimme (version 0.7-18)

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) .

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Install

install.packages('gimme')

Monthly Downloads

802

Version

0.7-18

License

GPL-2

Issues

0

Pull Requests

0

Stars

26

Forks

17

Maintainer

KM Gates

Last Published

June 21st, 2024

Functions in gimme (0.7-18)

predict.gimme

GIMME Predicted Values.
setupMultVarNames

Get names for bilinear effects.
simData

Large example, heterogeneous data, group, subgroup, and individual level effects.
return.zs

Returns z values from lavaan fit object.
w2e

Create edge list from weight matrix.
setupTransformData

Transform raw data as required.
setupDataLists

Create a list of dataframes
simulateVAR

Simulate data from Vector AutoRegression (VAR) models.
solution.tree

Solution trees for multiple solutions gimme.
setupConvolve

Group iterative multiple model estimation.
search.paths.ms

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

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

Set up base syntax file.
simDataLV

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

Create structure of group search solutions.
indiv.search

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

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

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

Group iterative multiple model estimation.
lowest.z

Identifies lowest z value from list of z values.
recode.vars

Recode variable names.
setupPrepPaths

Allows user to open and close certain paths.
residuals.gimme

GIMME Residuals.
setupPrelimDataChecks

Do some preliminary checks on the data.
return.mis

Returns MIs from lavaan fit object.
summaryPathsCounts

Create summary matrix of path counts and subgroup plots
ts

Small example, heterogeneous data, group and individual level effects
batch.create.tree

Create tree structures for group search solutions.
get.params

Grabs final coefficients for each individual.
determine.subgroups

Determines subgroups.
count.excellent

Counts number of excellent fit indices
final.org

Wrapup, create output files.
aggSEM

Group-level structural equation model search.
fit.model

Attempt to fit lavaan model.
create.tree

Create structure of group search solutions.
HRFsim

Hemodynamic Response Function (HRF) GIMME example.
expand.grid.unique

Provides unique combinations of two vectors.
indSEM

Individual-level structural equation model search.
indiv.search.ms

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

Identifies highest MI from list of MIs.
gimme-package

Group iterative multiple model estimation
ms.fit

Fitted gimme object with multiple solutions
gimmems.write

Write MS-GIMME results to data.frame.