Package: ctsem
Type: Package
Title: Continuous Time Structural Equation Modelling
Version: 2.8.2
Date: 2019-1-31
Authors@R: c(person("Charles", "Driver", role =
    c("aut","cre","cph"),email="driver@mpib-berlin.mpg.de"),
    person("Manuel", "Voelkle", role = c("aut","cph")),
    person("Han", "Oud", role = c("aut","cph") ))
Description: A hierarchical, multivariate, continuous (and discrete) time dynamic modelling
    package for panel and time series data, using 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 and non-linearity 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. Bayesian formulation not available on 
    32 bit Windows systems.
License: GPL-3
Depends: R (>= 3.4.0), Rcpp (>= 0.12.16), OpenMx (>= 2.3.0)
URL: https://github.com/cdriveraus/ctsem
Imports: rstan (>= 2.17.1), rstantools (>= 1.5.0), plyr, tools,
        data.table, Matrix, datasets, stats, graphics, grDevices,
        parallel, shiny, MASS, methods, utils, corrplot, mvtnorm,
        DEoptim, KernSmooth
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: StanHeaders (>= 2.17.0), rstan (>= 2.17.1), BH (>=
        1.66.0-1), Rcpp (>= 0.12.16), RcppEigen (>= 0.3.3.4.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Suggests: knitr, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-02-01 20:48:00 UTC; driver
Author: Charles Driver [aut, cre, cph],
  Manuel Voelkle [aut, cph],
  Han Oud [aut, cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>
Repository: CRAN
Date/Publication: 2019-02-03 16:13:16 UTC
Built: R 3.4.4; x86_64-apple-darwin15.6.0; 2019-02-04 10:10:42 UTC; unix
Archs: ctsem.so.dSYM
