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: 2.1
Depends: compiler, parallel, stats, graphics, methods
Published: 2020-01-08
Author: Hongyuan Cao, Donglin Zeng, Jialiang Li, Jason P. Fine, and Shannon T. Holloway
Maintainer: Shannon T. Holloway <sthollow at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: AsynchLong results

Documentation:

Reference manual: AsynchLong.pdf

Downloads:

Package source: AsynchLong_2.1.tar.gz
Windows binaries: r-devel: AsynchLong_2.1.zip, r-release: AsynchLong_2.1.zip, r-oldrel: AsynchLong_2.1.zip
macOS binaries: r-release (arm64): AsynchLong_2.1.tgz, r-release (x86_64): AsynchLong_2.1.tgz, r-oldrel: AsynchLong_2.1.tgz
Old sources: AsynchLong archive

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