Package: binaryMM 0.1.1
Chiara Di Gravio
binaryMM: Flexible Marginalized Models for Binary Correlated Outcomes
Estimates marginalized mean and dependence model parameters for correlated binary response data. Dependence model may include transition and/or latent variable terms. Methods are described in: Schildcrout and Heagerty (2007) <doi:10.1111/j.1541-0420.2006.00680.x>, Heagerty (1999) <doi:10.1111/j.0006-341x.1999.00688.x>, Heagerty (2002) <doi:10.1111/j.0006-341x.2002.00342.x>.
Authors:
binaryMM_0.1.1.tar.gz
binaryMM_0.1.1.zip(r-4.5)binaryMM_0.1.1.zip(r-4.4)binaryMM_0.1.1.zip(r-4.3)
binaryMM_0.1.1.tgz(r-4.4-x86_64)binaryMM_0.1.1.tgz(r-4.4-arm64)binaryMM_0.1.1.tgz(r-4.3-x86_64)binaryMM_0.1.1.tgz(r-4.3-arm64)
binaryMM_0.1.1.tar.gz(r-4.5-noble)binaryMM_0.1.1.tar.gz(r-4.4-noble)
binaryMM_0.1.1.tgz(r-4.4-emscripten)binaryMM_0.1.1.tgz(r-4.3-emscripten)
binaryMM.pdf |binaryMM.html✨
binaryMM/json (API)
NEWS
| # Install 'binaryMM' in R: |
| install.packages('binaryMM', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
Last updated 16 days agofrom:f1c959ba1a (on package/binaryMM). Checks:9 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 09 2025 |
| R-4.5-win-x86_64 | OK | Jan 09 2025 |
| R-4.5-linux-x86_64 | OK | Jan 09 2025 |
| R-4.4-win-x86_64 | OK | Jan 09 2025 |
| R-4.4-mac-x86_64 | OK | Jan 09 2025 |
| R-4.4-mac-aarch64 | OK | Jan 09 2025 |
| R-4.3-win-x86_64 | OK | Jan 09 2025 |
| R-4.3-mac-x86_64 | OK | Jan 09 2025 |
| R-4.3-mac-aarch64 | OK | Jan 09 2025 |
Exports:GenBinaryYget.GHmmMMLongit
Dependencies:fastGHQuadMASSRcpp
