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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>.
| Version: | 0.1.1 |
| Imports: | fastGHQuad, MASS, Rcpp |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
| Published: | 2022-10-11 |
| Author: | Jonathan Schildcrout [aut], Nathaniel Mercaldo [aut], Chiara Di Gravio [cre] |
| Maintainer: | Chiara Di Gravio <chiara.di.gravio at vanderbilt.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | binaryMM results |
| Reference manual: | binaryMM.pdf |
| Vignettes: |
binaryMM: Fitting Flexible Marginalized Models for Binary Correlated Outcomes |
| Package source: | binaryMM_0.1.1.tar.gz |
| Windows binaries: | r-devel: binaryMM_0.1.1.zip, r-release: binaryMM_0.1.1.zip, r-oldrel: binaryMM_0.1.1.zip |
| macOS binaries: | r-release (arm64): binaryMM_0.1.1.tgz, r-oldrel (arm64): binaryMM_0.1.1.tgz, r-release (x86_64): binaryMM_0.1.1.tgz, r-oldrel (x86_64): binaryMM_0.1.1.tgz |
| Old sources: | binaryMM archive |
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