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 |
| Reference manual: | AsynchLong.pdf |
| 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: AsynchLong_2.1.tgz, r-oldrel: AsynchLong_2.1.tgz |
| Old sources: | AsynchLong archive |
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