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CRAN: Package jmcm

jmcm: Joint Mean-Covariance Models using 'Armadillo' and S4

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 Documentation: Reference manual: jmcm.pdf Vignettes: jmcm: An R Package for Joint Mean-Covariance Modelling of Longitudinal Data
Downloads: 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 dependencies: Reverse depends: varjmcm Reverse suggests: slim Linking:

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