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: | 0.2.4 |
Depends: | R (≥ 3.2.2) |
Imports: | Formula, methods, Rcpp (≥ 0.12.14) |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.9.900.1.0), roptim |
Suggests: | testthat, R.rsp |
Published: | 2021-01-12 |
DOI: | 10.32614/CRAN.package.jmcm |
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_0.2.4.tar.gz |
Windows binaries: | r-devel: jmcm_0.2.4.zip, r-release: jmcm_0.2.4.zip, r-oldrel: jmcm_0.2.4.zip |
macOS binaries: | r-release (arm64): jmcm_0.2.4.tgz, r-oldrel (arm64): jmcm_0.2.4.tgz, r-release (x86_64): jmcm_0.2.4.tgz, r-oldrel (x86_64): jmcm_0.2.4.tgz |
Old sources: | jmcm archive |
Reverse depends: | varjmcm |
Reverse suggests: | slim |
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