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gimme (version 0.7-13)

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

827

Version

0.7-13

License

GPL-2

Issues

0

Pull Requests

0

Stars

28

Forks

18

Maintainer

KM Gates

Last Published

March 22nd, 2023

Functions in gimme (0.7-13)

lowest.z

Identifies lowest z value from list of z values.
gimmeSEM

Group iterative multiple model estimation.
gimme-package

Group iterative multiple model estimation
indiv.search.ms

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

Write MS-GIMME results to data.frame.
get.params

Grabs final coefficients for each individual.
indSEM

Individual-level structural equation model search.
ms.fit

Fitted gimme object with multiple solutions
predict.gimme

GIMME Predicted Values.
return.mis

Returns MIs from lavaan fit object.
residuals.gimme

GIMME Residuals.
print.varLabels

Print method for varLabels object.
search.paths

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

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

Get names for bilinear effects.
prune.paths

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

Transform raw data as required.
simData

Large example, heterogeneous data, group, subgroup, and individual level effects.
recode.vars

Recode variable names.
setupFinalDataChecks

Do some final checks on the data.
simulateVAR

Simulate data from Vector AutoRegression (VAR) models.
summaryPathsCounts

Create summary matrix of path counts and subgroup plots
simDataLV

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

Small example, heterogeneous data, group and individual level effects
setupBaseSyntax

Set up base syntax file.
setupDataLists

Create a list of dataframes
setupPrepPaths

Allows user to open and close certain paths.
setupPrelimDataChecks

Do some preliminary checks on the data.
sFIR

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

Solution trees for multiple solutions gimme.
subgroupStage

Create structure of group search solutions.
w2e

Create edge list from weight matrix.
return.zs

Returns z values from lavaan fit object.
determine.subgroups

Determines subgroups.
aggSEM

Group-level structural equation model search.
HRFsim

Hemodynamic Response Function (HRF) GIMME example.
convolve

Group iterative multiple model estimation.
batch.create.tree

Create tree structures for group search solutions.
create.tree

Create structure of group search solutions.
count.excellent

Counts number of excellent fit indices
expand.grid.unique

Provides unique combinations of two vectors.
indiv.search

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

Wrapup, create output files.
highest.mi

Identifies highest MI from list of MIs.
fit.model

Attempt to fit lavaan model.