lclGWAS swMATH ID: 17796 Software Authors: Jiaxing Lin, Alexander Sibley, Tracy Truong, Nancy Cox, Eileen Dolan, Yu Jiang, Janice McCarthy, Andrew Allen, Kouros Owzar, Zhiguo Li Description: R package lclGWAS. Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data. 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 <<a href=”http://dx.doi.org/10.1016/j.cpc.2005.01.010”>doi:10.1016/j.cpc.2005.01.010</a>>), 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). Homepage: https://cran.r-project.org/web/packages/lclGWAS/index.html Source Code: https://github.com/cran/lclGWAS Dependencies: R Keywords: CRAN; R package; Discrete-Time Multivariate Frailty Model; Grouped Survival Data Cited in: 0 Publications