Title: Learn Chain graphs via Decomposition
Description: Functions for learning chain graphs (and as a special
case, Bayesian networks) via the decomposition approach.

Title: Latent Class Discriminant Analysis
Description: Local Discrimination via Latent Class Models
Packaged: Wed Mar 25 11:41:45 2009; michael

Description: Providing a method for Local Discrimination via Latent Class Models. The approach is described in <https://www.r-project.org/conferences/useR-2009/abstracts/pdf/Bucker.pdf>.

Title: A Bayesian Multi-Dimensional Couple-Based Latent Risk Model
Authors@R: c(person(given = "Beom Seuk",
Description: A joint latent class model where a hierarchical structure exists, with an interaction between female and male partners of a couple. A Bayesian perspective to inference and Markov chain Monte Carlo algorithms to obtain posterior estimates of model parameters. The reference paper is: Beom Seuk Hwang, Zhen Chen, Germaine M.Buck Louis, Paul S. Albert, (2018) "A Bayesian multi-dimensional couple-based latent risk model with an application to infertility". Biometrics, 75, 315-325. <doi:10.1111/biom.12972>.

Package: lclGWAS
Type: Package
Title: Efficient Estimation of Discrete-Time Multivariate Frailty Model
Using Exact Likelihood Function for Grouped Survival Data
Version: 1.0.1
Date: 2016-11-15
Author: Jiaxing Lin, Alexander Sibley, Tracy Truong, Nancy Cox, Eileen Dolan, Yu
Jiang, Janice McCarthy, Andrew Allen, Kouros Owzar, Zhiguo Li
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>
Description: The core of this 'Rcpp' based package is several functions to
compute the baseline hazard, effect parameter, and frailty variance for the
discrete-time shared frailty model with random effects. The core functions
include two processes: (1) evaluate the multiple variable integration to
compute the exact proportional hazards model based likelihood and (2) estimate
desired parameters using maximum likelihood estimation. The integration is
evaluated by 'Cuhre' function from 'Cuba' library (Hahn, T., Cuba-a library
for multidimensional numerical integration, Comput. Phys. Commun. 168, 2005,
78-95 <doi: 10.1016/j.cpc.2005.01.010>), and the source files of 'Cuhre' function are included in this package.
Maximization process is carried out using the Brent's algorithm, and the 'C+
+' code file is from John Burkardt and John Denker (Brent, R.,Algorithms for
Minimization without Derivatives, Dover, 2002, ISBN 0-486-41998-3).
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4),
LinkingTo: Rcpp, BH
Suggests: knitr
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2016-11-15 18:06:04 UTC; jl354
Repository: CRAN
Date/Publication: 2016-11-15 19:35:39