ctsem: Continuous Time Structural Equation Modelling

A multivariate continuous (and discrete) time dynamic modelling package for panel and time series data, using linear stochastic differential equations. Contains a faster frequentist set of functions using OpenMx for single subject and mixed-effects (random intercepts only) structural equation models, or a hierarchical Bayesian implementation using Stan that allows for random effects over all model parameters. Allows for modelling of multiple noisy measurements of multiple stochastic processes, time varying input / event covariates, and time invariant covariates used to predict the parameters.

Version: 2.0.0
Depends: R (≥ 3.0.0), OpenMx (≥ 2.3.0)
Imports: rstan, plyr, Matrix, stats, utils, graphics, methods, grDevices, parallel
Suggests: knitr, testthat, PSM, cts, yuima, shinystan
Published: 2016-11-19
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <driver at mpib-berlin.mpg.de>
License: GPL-3
URL: https://github.com/cdriveraus/ctsem
NeedsCompilation: no
Citation: ctsem citation info
Materials: README NEWS
CRAN checks: ctsem results

Downloads:

Reference manual: ctsem.pdf
Vignettes: Continuous time structural equation modelling with ctsem
Intro to Hierarchical Continuous Time Dynamic Modelling with ctsem
Package source: ctsem_2.0.0.tar.gz
Windows binaries: r-devel: ctsem_2.0.0.zip, r-release: ctsem_2.0.0.zip, r-oldrel: ctsem_2.0.0.zip
OS X Mavericks binaries: r-release: ctsem_2.0.0.tgz, r-oldrel: ctsem_2.0.0.tgz
Old sources: ctsem archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ctsem to link to this page.