Title: Regularized Generalized Linear Models with Interaction Effects
Author: Yang Feng, Ning Hao and Hao Helen Zhang
Description: This package provides an efficient procedure for fitting the entire solution path for high-dimensional regularized generalized linear models with interactions effects under the strong heredity constraint.

Description: Provides an efficient procedure for fitting the entire solution path for high-dimensional regularized quadratic generalized linear models with interactions effects under the strong or weak heredity constraint.

Description: Provides an efficient procedure for fitting the entire solution
path for high-dimensional regularized quadratic generalized linear models with
interactions effects under the strong or weak heredity constraint.

Authors@R: c(person("Yang", "Feng", email = "yangfengstat@gmail.com",
role = c("aut", "cre")),person("Ning", "Hao", email = "nhao@math.arizona.edu",
role = c("aut")),person("Hao", "Helen Zhang", email = "hzhang@math.arizona.edu",

Description: RAMpath is a rewrite of RAMpath software developed by John
McArdle and Steven Boker. However, it does more than the
original software by providing flexible fit of growth curve
models, univariate and bivariate latent change score models. It
can also generate the vector field plot for the bivariate

Author: Zhiyong Zhang, Jack McArdle, Aki Hamagami, & Kevin Grimm

Title: Structural Equation Modeling using RAM Notation

Title: Structural Equation Modeling using the reticular action model
Description: RAMpath is a rewrite of RAMpath software developed by John McArdle and Steven Boker. In addition to performing regular SEM analysis through the R package lavaan, RAMpath has unique features.  First, it can generate path diagrams according to a given model. Second, it can display path tracing rules through path diagrams and decompose total effects into their respective direct and indirect effects as well as decompose variances and covariances into individual bridges. Furthermore, RAMpath can fit dynamic system models automatically based on latent change scores and generate vector field plots based upon results obtained from a bivariate dynamic system.