AsynchLong-package: Regression Analysis of Sparse Asynchronous Longitudinal Data

AsynchLong-packageR Documentation

Regression Analysis of Sparse Asynchronous Longitudinal Data


Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients.


Package: AsynchLong
Type: Package
Version: 2.2
Date: 2022-06-05
License: GPL-2


Hongyuan Cao, Jason P. Fine, Jialiang Li, Donglin Zeng, and Shannon T. Holloway Maintainer: Shannon T. Holloway <>


Cao, H., Zeng, D., and Fine, J. P. (2015) Regression Analysis of sparse asynchronous longitudinal data. Journal of the Royal Statistical Society: Series B, 77, 755-776.

Cao, H., Li, Jialiang, and Fine, J. P. (2016). On last observation carried forward and asynchronous longitudinal regression analysis. Electronic Journal of Statistics, 10, 1155-1180.

See Also

asynchTD, asynchTI, asynchLV

AsynchLong documentation built on Nov. 24, 2023, 5:10 p.m.