tools:::Rd_package_description("psychonetrics")
tools:::Rd_package_author("psychonetrics")
Maintainer: tools:::Rd_package_maintainer("psychonetrics")
The DESCRIPTION file:
tools:::Rd_package_DESCRIPTION("psychonetrics")
tools:::Rd_package_indices("psychonetrics")
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), (4) the dynamical lag-1 latent variable model for panel data (dlvm1) and for time-series data (tsdlvm1), (5) the Ising model (Ising) and its generalization the Blume-Capel model (BlumeCapel), (6) the multi-level latent variable model for two-level data (ml_lvm) and the multi-level dynamical model for multi-subject time-series data (ml_tsdlvm1), (7) the meta-analytic variance--covariance model (meta_varcov, with wrappers meta_lvm and meta_var1), and (8) the random-intercept cross-lagged panel model (ri_clpm, with the network-parameterized wrapper ri_clpn).
More information: psychonetrics.org