Package: ctsem
Type: Package
Title: Continuous Time Structural Equation Modelling
Version: 3.11.0
Date: 2026-6-30
Authors@R: c(person("Charles", "Driver", role =
    c("aut","cre","cph"),email="charles.driver2@uzh.ch"),
    person("Manuel", "Voelkle", role = c("aut","cph")),
    person("Han", "Oud", role = c("aut","cph") ),
    person("Trustees of Columbia University",role='cph'))
Description: Hierarchical continuous (and discrete) time state space
        modelling, for linear and nonlinear systems measured by
        continuous variables, with limited support for binary data. The
        subject specific dynamic system is modelled as a stochastic
        differential equation (SDE) or difference equation, measurement
        models are typically multivariate normal factor models. Linear
        mixed effects SDE's estimated via maximum likelihood and
        optimization are the default. Nonlinearities, (state dependent
        parameters) and random effects on all parameters are possible,
        using either max likelihood / max a posteriori optimization
        (with optional importance sampling) or Stan's Hamiltonian Monte
        Carlo sampling. See
        <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf>
        for details. See <https://osf.io/preprints/psyarxiv/4q9ex_v2>
        for a detailed tutorial. Priors may be used. For the conceptual
        overview of the hierarchical Bayesian linear SDE approach, see
        <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>.
        Exogenous inputs may also be included, for an overview of such
        possibilities see
        <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models>
        . <https://cdriver.netlify.app/> contains some tutorial blog
        posts.
License: GPL-3
Depends: R (>= 4.2.0), Rcpp (>= 0.12.16)
URL: https://github.com/cdriveraus/ctsem
Imports: cOde, data.table (>= 1.12.8), datasets, Deriv, expm, ggplot2,
        graphics, grDevices, MASS, Matrix, methods, mize, mvtnorm,
        parallel, plyr, RcppParallel (>= 5.0.1), rstan (>= 2.26.0),
        rstantools (>= 2.3.0), stats, tibble, tools, utils, splines,
        parallelly, corpcor, png
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: BH (>= 1.66.0-1), Rcpp (>= 0.12.16), RcppEigen (>=
        0.3.3.4.0), RcppParallel (>= 5.0.1), rstan (>= 2.26),
        StanHeaders (>= 2.26.0), RcppParallel (>= 5.0.1)
Suggests: knitr, testthat, devtools, tinytex, lme4, shiny, gridExtra,
        arules, collapse, qgam, papaja, future, future.apply, diagis,
        pdftools, rstudioapi, quarto
VignetteBuilder: knitr, quarto
SystemRequirements: GNU make
NeedsCompilation: yes
Biarch: true
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: make libpng-dev
Repository: https://cdriveraus.r-universe.dev
Date/Publication: 2026-07-02 13:09:26 UTC
RemoteUrl: https://github.com/cdriveraus/ctsem
RemoteRef: HEAD
RemoteSha: f1426ed9082420eb30990c19ce1c367d1dd16aae
Packaged: 2026-07-02 15:21:49 UTC; root
Author: Charles Driver [aut, cre, cph],
  Manuel Voelkle [aut, cph],
  Han Oud [aut, cph],
  Trustees of Columbia University [cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>