Package: AsynchLong 2.4
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>.
Authors:
AsynchLong_2.4.tar.gz
AsynchLong_2.4.zip(r-4.7-any)AsynchLong_2.4.zip(r-4.6-any)AsynchLong_2.4.zip(r-4.5-any)
AsynchLong_2.4.tgz(r-4.6-any)AsynchLong_2.4.tgz(r-4.5-any)
AsynchLong_2.4.tar.gz(r-4.7-any)AsynchLong_2.4.tar.gz(r-4.6-any)
AsynchLong_2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AsynchLong/json (API)
| # Install 'AsynchLong' in R: |
| install.packages('AsynchLong', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org')) |
- TD.x - Generated Asynchronous Longitudinal Data with Time-Dependent Coefficients
- TD.y - Generated Asynchronous Longitudinal Data with Time-Dependent Coefficients
- TI.x - Generated Asynchronous Longitudinal Data with Time-Invariant Coefficients
- TI.y - Generated Asynchronous Longitudinal Data with Time-Invariant Coefficients
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cca143769b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 92 | ||
| source / vignettes | OK | 158 | ||
| linux-release | OK | 94 | ||
| macos-release | OK | 104 | ||
| macos-oldrel | OK | 66 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 77 |
Exports:asynchHKasynchLVasynchTDasynchTIasynchWLV
Dependencies:
