Other packages > Find by keyword >

lclGWAS  

Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data
View on CRAN: Click here


Download and install lclGWAS package within the R console
Install from CRAN:
install.packages("lclGWAS")

Install from Github:
library("remotes")
install_github("cran/lclGWAS")

Install by package version:
library("remotes")
install_version("lclGWAS", "1.0.3")



Attach the package and use:
library("lclGWAS")
Maintained by
Jiaxing Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-15
Latest Update:
Description:
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 doi10.1016j.cpc.2005.01.010 and the source files of the Cuhre function are included in this package. The maximization process is carried out using Brents 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.
How to cite:
Jiaxing Lin (2016). lclGWAS: Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data. R package version 1.0.3, https://cran.r-project.org/web/packages/lclGWAS. Accessed 08 Mar. 2026.
Previous versions and publish date:
1.0.1 (2016-11-15 19:35), 1.0.2 (2016-11-30 20:03), 1.0.3 (2017-02-21 00:03), 1.0 (2016-11-15 00:18)
Other packages that cited lclGWAS R package
View lclGWAS citation profile
Other R packages that lclGWAS depends, imports, suggests or enhances
Functions, R codes and Examples using the lclGWAS R package
Full lclGWAS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MultivariateAnalysis  
Pacote Para Analise Multivariada
Package with multivariate analysis methodologies for experiment evaluation. The package estimates d ...
Download / Learn more Package Citations See dependency  
osmextract  
Download and Import Open Street Map Data Extracts
Match, download, convert and import Open Street Map data extracts obtained from several providers. ...
Download / Learn more Package Citations See dependency  
GMKMcharlie  
Unsupervised Gaussian Mixture and Minkowski and Spherical K-Means with Constraints
High performance trainers for parameterizing and clustering weighted data. The Gaussian mixture (GM) ...
Download / Learn more Package Citations See dependency  
RCPA3  
Data and Functions for R Companion to Political Analysis 3rd Ed
Bundles the datasets and functions featured in Philip H. Pollock and Barry C. Edwards ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

223,360

Dependencies

70,376

Author Associations

26,294

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA