CRAN/E | lclGWAS

lclGWAS

Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data

Installation

About

The core of this 'Rcpp' based package is several functions to estimate the baseline hazard, frailty variance, and fixed effect parameter for a discrete-time shared frailty model with random effects. The functions are designed to analyze grouped time-to-event data accounting for family structure of related individuals (i.e., trios). The core functions include two processes: (1) evaluate the multivariable integration to compute the exact proportional hazards model based likelihood and (2) estimate the desired parameters using maximum likelihood estimation. The integration is evaluated by the 'Cuhre' algorithm from the '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 the 'Cuhre' function are included in this package. The maximization process is carried out using Brent's algorithm, with the 'C++' code file from John Burkardt and John Denker (Brent, R.,Algorithms for Minimization without Derivatives, Dover, 2002, ISBN 0-486-41998-3).

Key Metrics

Version 1.0.3
Published 2017-02-21 2765 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks lclGWAS results

Downloads

Yesterday 1 0%
Last 7 days 10 0%
Last 30 days 40 +11%
Last 90 days 124 +2%
Last 365 days 544 -60%

Maintainer

Maintainer

Jiaxing Lin

Authors

Jiaxing Lin
Alexander Sibley
Tracy Truong
Nancy Cox
Eileen Dolan
Yu Jiang
Janice McCarthy
Andrew Allen
Kouros Owzar
Zhiguo Li

Material

NEWS
Reference manual
Package source

Vignettes

lclGWAS

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lclGWAS archive

Imports

Rcpp ≥ 0.12.4

Suggests

knitr

LinkingTo

Rcpp
BH