CRAN/E | jmcm

jmcm

Joint Mean-Covariance Models using 'Armadillo' and S4

Installation

About

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.

Citation jmcm citation info
github.com/ypan1988/jmcm/
System requirements C++11
Bug report File report

Key Metrics

Version 0.2.4
R ≥ 3.2.2
Published 2021-01-12 1203 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Jianxin Pan

Jianxin.Pan@manchester.ac.uk

Authors

Jianxin Pan

aut / cre

Yi Pan

aut

Material

NEWS
Reference manual
Package source

Vignettes

jmcm: An R Package for Joint Mean-Covariance Modelling of Longitudinal Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

jmcm archive

Depends

R ≥ 3.2.2

Imports

Formula
methods
Rcpp ≥ 0.12.14

Suggests

testthat
R.rsp

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.900.1.0
roptim

Reverse Depends

varjmcm

Reverse Suggests

slim