gvarDat: Simulated temporal network data
In tswanson222/modnets: Modeling Moderated Networks
Description
Usage
Format
Details
Description
Data generated from simNet, with five variables that serve as
nodes in the GVAR model and a sixth that serves as a moderator. The data were
generated by setting lag = 1 to specify a single-subject lag-1 model.
The data were simulated from a graphical vector autoregressive model (GVAR).
Usage
1
Format
A 5000 x 6 data frame with five variables as nodes in a GVAR
and a sixth as a moderator. Attributes contain values for the data
generating model.
Details
In the case of using simNet with lags = 1, that function
essentially serves as a wrapper for mlGVARsim which
automatically sets nPerson = 1.
tswanson222/modnets documentation built on Dec. 23, 2021, 1:01 p.m.
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Description Usage Format Details
Description
Data generated from simNet, with five variables that serve as
nodes in the GVAR model and a sixth that serves as a moderator. The data were
generated by setting lag = 1 to specify a single-subject lag-1 model.
The data were simulated from a graphical vector autoregressive model (GVAR).
Usage
1 |
Format
A 5000 x 6 data frame with five variables as nodes in a GVAR
and a sixth as a moderator. Attributes contain values for the data
generating model.
Details
In the case of using simNet with lags = 1, that function
essentially serves as a wrapper for mlGVARsim which
automatically sets nPerson = 1.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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