Package: gimme 0.7-181111
gimme: Group Iterative Multiple Model Estimation
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>.
Authors:
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gimme/json (API)
# Install 'gimme' in R: |
install.packages('gimme', repos = c('https://gateslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gateslab/gimme/issues
- HRFsim - Hemodynamic Response Function (HRF) GIMME example.
- ms.fit - Fitted gimme object with multiple solutions
- simData - Large example, heterogeneous data, group, subgroup, and individual level effects.
- simDataLV - Latent variable example, heterogeneous data, group, subgroup level effects.
- ts - Small example, heterogeneous data, group and individual level effects
Last updated 1 months agofrom:e39ce70f69. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | ERROR | Oct 25 2024 |
R-4.5-linux | ERROR | Oct 25 2024 |
R-4.4-win | ERROR | Oct 25 2024 |
R-4.4-mac | ERROR | Oct 25 2024 |
R-4.3-win | ERROR | Oct 25 2024 |
R-4.3-mac | ERROR | Oct 25 2024 |
Exports:aggSEMconvolveFIRgimmegimmeSEMindSEMsimulateVARsolution.tree
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecommonmarkcorpcorcowplotcpp11curldata.tabledata.treeDerivdigestdoBydplyrevaluatefansifarverfastmapfdrtoolfontawesomeforecastforeignFormulafracdifffsgenericsggplot2ggtextglassoglueGPArotationgridExtragridtextgtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphimputeTSisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkMIIVsemmimeminqamnormtmodelrmunsellnlmenloptrnnetnumDerivpbapplypbivnormpbkrtestpillarpkgconfigplyrpngpsychpurrrqgraphquadprogquantmodquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownrpartrstudioapisassscalesSparseMstinepackstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextseriesTTRurcautf8vctrsviridisviridisLitewithrxfunxml2xtsyamlzoo