psychonetrics-package: Structural Equation Modeling and Confirmatory Network...
In psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis
psychonetrics-package R Documentation
Structural Equation Modeling and Confirmatory Network Analysis
Description
Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This package can be used to perform Structural Equation Modeling and confirmatory network modeling. Current implemented families of models are (1) the variance–covariance matrix (varcov), (2) the latent variable model (lvm), (3) the lag-1 vector autoregression model (var1), and (4) the dynamical lag-1 latent variable model for panel data (dlvm1) and for time-series data (tsdlvm1).
Author(s)
Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>
References
More information: psychonetrics.org
psychonetrics documentation built on June 22, 2024, 10:29 a.m.
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| psychonetrics-package | R Documentation |
Structural Equation Modeling and Confirmatory Network Analysis
Description
Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This package can be used to perform Structural Equation Modeling and confirmatory network modeling. Current implemented families of models are (1) the variance–covariance matrix (varcov), (2) the latent variable model (lvm), (3) the lag-1 vector autoregression model (var1), and (4) the dynamical lag-1 latent variable model for panel data (dlvm1) and for time-series data (tsdlvm1).
Author(s)
Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>
References
More information: psychonetrics.org
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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