A Bayesian Multi-Dimensional Couple-Based Latent Risk Model
c(person(given = "Beom Seuk",
family = "Hwang",
role = "aut"),
person(given = "Zhen",
family = "Chen",
role = "aut",
email = "chenzhe@mail.nih.gov"),
person(given = "Germaine M. Buck",
family = "Louis",
role ="aut"),
person(given = "Paul S.",
family = "Albert",
role = "aut"),
person(given = "Weimin",
family = "Zhang",
email = "zhangwm@hotmail.com",
role = "cre"
))
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>.
Beom Seuk Hwang [aut],
Zhen Chen [aut],
Germaine M. Buck Louis [aut],
Paul S. Albert [aut],
Weimin Zhang [cre]

Efficient Estimation of Discrete-Time Multivariate Frailty Model
Using Exact Likelihood Function for Grouped Survival Data
Jiaxing Lin, Alexander Sibley, Tracy Truong, Nancy Cox, Eileen Dolan, Yu
Jiang, Janice McCarthy, Andrew Allen, Kouros Owzar, Zhiguo Li
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).