Fit joint mean-covariance models for longitudinal data. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Armadillo' C++ library for numerical linear algebra and 'RcppArmadillo' glue.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.2.2) |
| Imports: | Formula, lattice, methods, Rcpp (≥ 0.12.14) |
| LinkingTo: | Rcpp, RcppArmadillo, roptim |
| Suggests: | testthat, R.rsp |
| Published: | 2020-07-28 |
| Author: | Jianxin Pan [aut, cre], Yi Pan [aut] |
| Maintainer: | Jianxin Pan <Jianxin.Pan at manchester.ac.uk> |
| BugReports: | https://github.com/ypan1988/jmcm/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/ypan1988/jmcm/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | jmcm citation info |
| Materials: | NEWS |
| CRAN checks: | jmcm results |
| Reference manual: | jmcm.pdf |
| Vignettes: |
jmcm: An R Package for Joint Mean-Covariance Modelling of Longitudinal Data |
| Package source: | jmcm_0.2.2.tar.gz |
| Windows binaries: | r-devel: jmcm_0.2.2.zip, r-release: jmcm_0.2.2.zip, r-oldrel: jmcm_0.2.2.zip |
| macOS binaries: | r-release: jmcm_0.2.2.tgz, r-oldrel: jmcm_0.2.2.tgz |
| Old sources: | jmcm archive |
| Reverse depends: | varjmcm |
| Reverse suggests: | slim |
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