Title: Hierarchical Structural Equation Model
Maintainer: Rezzy Eko Caraka <rezzyekocaraka@gmail.com>
Description: We present this package for fitting structural equation models using the hierarchical likelihood method. This package allows extended structural equation model, including dynamic structural equation model. We illustrate the use of our packages with well-known data sets. Therefore, this package are able to handle two serious problems inadmissible solution and factor indeterminacy <doi:10.3390/sym13040657>.
Depends: R (>= 3.6.0), methods, Matrix, numDeriv, boot, mvtnorm

Title: Canonical Correlation Analysis based on Kernel Independence
Description: Canonical correlation analysis that extracts nonlinear
correlation through the use of Hilbert Schmidt Independence
Criterion and Centered Kernel Target Alignment.

Title: A Path-Based BCD for Proximal Function of Latent Group Lasso
Description: Implementation of the block coordinate descent procedure for
solving the proximal function of latent group Lasso, highlighted by
decomposing a DAG into several non-overlapping path graphs, and getting
closed-form solution for each path graph. The procedure was introduced
as Algorithm 4 in Yan and Bien (2015) <https://arxiv.org/abs/1512.01631>
"Hierarchical Sparse Modeling: A Choice of Two Regularizers", and the
closed-form solution for each path graph is solved in Algorithm 3 of
Author: Xiaohan Yan <xy257@cornell.edu>, Jacob Bien
Packaged: 2016-06-09 05:06:25 UTC; xiaohanyan

as Algorithm 4 in Yan and Bien (2017) <doi:10.1214/17-STS622>
"Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations", and the
Author: Xiaohan Yan [aut, cre], Jacob Bien [aut, cre]

Author: Jan Bulla <Jan.Bulla@mcs.vuw.ac.nz>, Ingo Bulla <ingobulla@gmx.de>, Oleg Nenadic <onenadi@uni-goettingen.de>
Description: A package for computation of hidden semi markov models
Packaged: Mon Jan  7 09:30:49 2008; onenadi

Packaged: Fri Apr 11 16:28:38 2008; onenadi

Packaged: Fri Apr 25 12:36:01 2008; onenadi

Author: Jan Bulla <Jan.Bulla@mcs.vuw.ac.nz>, Ingo Bulla