Package: IrregLong 0.3.4
IrregLong: Analysis of Longitudinal Data with Irregular Observation Times
Functions to help with analysis of longitudinal data featuring irregular observation times, where the observation times may be associated with the outcome process. There are functions to quantify the degree of irregularity, fit inverse-intensity weighted Generalized Estimating Equations (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>), perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>) and fit semi-parametric joint models (Liang Y (2009) <doi:10.1111/j.1541-0420.2008.01104.x>).
Authors:
IrregLong_0.3.4.tar.gz
IrregLong_0.3.4.zip(r-4.5)IrregLong_0.3.4.zip(r-4.4)IrregLong_0.3.4.zip(r-4.3)
IrregLong_0.3.4.tgz(r-4.5-any)IrregLong_0.3.4.tgz(r-4.4-any)IrregLong_0.3.4.tgz(r-4.3-any)
IrregLong_0.3.4.tar.gz(r-4.5-noble)IrregLong_0.3.4.tar.gz(r-4.4-noble)
IrregLong_0.3.4.tgz(r-4.4-emscripten)IrregLong_0.3.4.tgz(r-4.3-emscripten)
IrregLong.pdf |IrregLong.html✨
IrregLong/json (API)
NEWS
| # Install 'IrregLong' in R: |
| install.packages('IrregLong', repos = c('https://epullenayegum.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epullenayegum/irreglong/issues
Pkgdown site:https://epullenayegum.github.io
Last updated 3 years agofrom:1a019a79cd. Checks:3 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 17 2025 |
| R-4.5-win | NOTE | Mar 17 2025 |
| R-4.5-mac | NOTE | Mar 17 2025 |
| R-4.5-linux | NOTE | Mar 17 2025 |
| R-4.4-win | NOTE | Mar 17 2025 |
| R-4.4-mac | NOTE | Mar 17 2025 |
| R-4.4-linux | NOTE | Mar 17 2025 |
| R-4.3-win | OK | Mar 17 2025 |
| R-4.3-mac | OK | Mar 17 2025 |
Exports:abacus.plotaddcensoredrowsextent.of.irregularityiiwiiw.weightsiiwgeelagfnLiangmooutputation
Dependencies:backportsbroomclicpp11data.tabledplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6rlangstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithr
