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jmcm  

Joint Mean-Covariance Models using 'Armadillo' and S4
View on CRAN: Click here


Download and install jmcm package within the R console
Install from CRAN:
install.packages("jmcm")

Install from Github:
library("remotes")
install_github("cran/jmcm")

Install by package version:
library("remotes")
install_version("jmcm", "0.2.5")



Attach the package and use:
library("jmcm")
Maintained by
Jianxin Pan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-15
Latest Update: 2021-01-12
Description:
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.
How to cite:
Jianxin Pan (2015). jmcm: Joint Mean-Covariance Models using 'Armadillo' and S4. R package version 0.2.5, https://cran.r-project.org/web/packages/jmcm. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.0.0 (2015-12-15 09:27), 0.1.1.0 (2015-12-15 16:55), 0.1.2.0 (2016-04-15 23:28), 0.1.3.0 (2016-05-14 00:33), 0.1.4.0 (2016-06-03 18:45), 0.1.5.0 (2016-08-04 01:12), 0.1.6.0 (2016-08-29 20:52), 0.1.7.0 (2016-10-20 00:13), 0.1.8.0 (2017-11-25 16:56), 0.2.0 (2018-11-04 10:50), 0.2.1 (2018-11-10 20:40), 0.2.2 (2020-07-28 17:20), 0.2.3 (2021-01-06 21:40), 0.2.4 (2021-01-12 09:40)
Other packages that cited jmcm R package
View jmcm citation profile
Other R packages that jmcm depends, imports, suggests or enhances
Complete documentation for jmcm
Functions, R codes and Examples using the jmcm R package
Some associated functions: acd_estimation . aids . bootcurve . cattle . getJMCM . hpc_estimation . jmcm . jmcmControl . jmcmMod-class . mcd_estimation . meanplot . modular . regressogram . show-jmcmMod-method . 
Some associated R codes: AllClass.R . RcppExports.R . jmcm.R . jmcmControl.R . utilities.R .  Full jmcm package functions and examples
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