Implements the generalized integration model, which integrates individual-level data and summary statistics under a generalized linear model framework. It supports continuous and binary outcomes to be modeled by the linear and logistic regression models. For binary outcome, data can be sampled in prospective cohort studies or case-control studies.

Implements the generalized integration model, which integrates individual-level data and summary statistics under a generalized linear model framework. It supports continuous and binary outcomes to be modeled by the linear and logistic regression models. For binary outcome, data can be sampled in prospective cohort studies or case-control studies. Described in Zhang et al. (2020)<doi:10.1093/biomet/asaa014>.

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

Stephanie Lane [aut, cre, trl], Kathleen Gates [aut], Peter Molenaar
[aut]

Stephanie Lane [aut, cre, trl],
Kathleen Gates [aut],
Peter Molenaar [aut],
Michael Hallquist [ctb],
Hallie Pike [ctb]
lavaan (>= 0.5-17), MASS, doSNOW, foreach, snow, igraph,
qgraph, parallel, doParallel, gWidgets2

lavaan (>= 0.5-19), MASS, doSNOW, foreach, snow, igraph,
qgraph, parallel, doParallel, gWidgets2

lavaan (>= 0.5-19), MASS, doSNOW, foreach, snow, igraph,
qgraph, parallel, doParallel, gWidgets

lavaan (>= 0.5-19), igraph, qgraph, gWidgets

Stephanie Lane [aut, cre, trl],
Kathleen Gates [aut],
Peter Molenaar [aut],
Michael Hallquist [ctb],
Hallie Pike [ctb],
Zachary Fisher [ctb],
Cara Arizmendi [ctb]

Stephanie Lane [aut, cre, trl],
Kathleen Gates [aut],
Peter Molenaar [aut],
Michael Hallquist [ctb],
Hallie Pike [ctb],
Zachary Fisher [ctb],
Cara Arizmendi [ctb],
Teague Henry [ctb]

Stephanie Lane [aut, cre, trl],
Kathleen Gates [aut],
Zachary Fisher [aut],
Peter Molenaar [aut],
Michael Hallquist [ctb],
Hallie Pike [ctb],
Cara Arizmendi [ctb],
Teague Henry [ctb],
Kelly Duffy [ctb]
lavaan (>= 0.5-19), igraph, qgraph, data.tree, MIIVsem,
imputeTS