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gimme (version 0.7-1)

Group Iterative Multiple Model Estimation

Description

Automated identification and estimation of group- and individual-level relations in time series data from within a structural equation modeling framework.

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Install

install.packages('gimme')

Monthly Downloads

827

Version

0.7-1

License

GPL-2

Issues

0

Pull Requests

0

Stars

28

Forks

18

Maintainer

KM Gates

Last Published

February 15th, 2020

Functions in gimme (0.7-1)

gimme-package

Group iterative multiple model estimation
indiv.search.ms

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

Solution trees for multiple solutions gimme.
prune.paths

Prunes paths. Ties together lowest.z and return.zs functions.
recode.vars

Recode variable names.
ms.fit

Fitted gimme object with multiple solutions
print.varLabels

Print method for varLabels object.
indSEM

Individual-level structural equation model search.
subgroupStage

Create structure of group search solutions.
count.excellent

Counts number of excellent fit indices
gimmeSEM

Group iterative multiple model estimation.
highest.mi

Identifies highest MI from list of MIs.
gimmems.write

Write MS-GIMME results to data.frame.
search.paths.ms

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

Identifies lowest z value from list of z values.
setupBaseSyntax

Set up base syntax file.
setupPrelimDataChecks

Do some preliminary checks on the data.
setupDataLists

Create a list of dataframes
indiv.search

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

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

Do some final checks on the data.
sFIR

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

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

Get names for bilinear effects.
ts

Small example, heterogeneous data, group and individual level effects
w2e

Create edge list from weight matrix.
simDataLV

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

Transform raw data as required.
return.zs

Returns z values from lavaan fit object.
return.mis

Returns MIs from lavaan fit object.
setupPrepPaths

Allows user to open and close certain paths.
determine.subgroups

Determines subgroups.
aggSEM

Group-level structural equation model search.
convolve

Group iterative multiple model estimation.
expand.grid.unique

Provides unique combinations of two vectors.
create.tree

Create structure of group search solutions.
fit.model

Attempt to fit lavaan model.
final.org

Wrapup, create output files.
batch.create.tree

Create tree structures for group search solutions.
get.params

Grabs final coefficients for each individual.