AsynchLong: 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. Cao, H., Li, J., and Fine, J. P. (2016) <doi:10.1214/16-EJS1141>. Cao, H., Zeng, D., and Fine, J. P. (2015) <doi:10.1111/rssb.12086>.

Version:	2.4
Depends:	compiler, parallel, stats, graphics, methods
Published:	2025-05-03
DOI:	10.32614/CRAN.package.AsynchLong
Author:	Hongyuan Cao [aut], Donglin Zeng [aut], Jialiang Li [aut], Jason P. Fine [aut], Shannon T. Holloway [aut, cre]
Maintainer:	Shannon T. Holloway <shannon.t.holloway at gmail.com>
License:	GPL-2
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	AsynchLong results

Documentation:

Reference manual:

AsynchLong.html , AsynchLong.pdf

Downloads:

Package source:	AsynchLong_2.4.tar.gz
Windows binaries:	r-release: AsynchLong_2.4.zip, r-oldrel: AsynchLong_2.4.zip
macOS binaries:	r-release (arm64): AsynchLong_2.4.tgz, r-oldrel (arm64): AsynchLong_2.4.tgz, r-release (x86_64): AsynchLong_2.4.tgz, r-oldrel (x86_64): AsynchLong_2.4.tgz
Old sources:	AsynchLong archive

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