Package: dynr
Date: 2017-05-19
Title: Dynamic Modeling in R
Authors@R: c(person("Lu", "Ou", role="aut", email="lzo114@psu.edu"),
    person(c("Michael", "D."), "Hunter", role=c("aut", "cre"), email="mhunter.ou@gmail.com"),
    person("Sy-Miin", "Chow", role="aut"))
Author: Lu Ou [aut],
    Michael D. Hunter [aut, cre],
    Sy-Miin Chow [aut]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>
Depends: R (>= 3.0.0), methods, ggplot2
Imports: MASS, Matrix, numDeriv, xtable, latex2exp, grid, reshape2,
        plyr, mice, magrittr
Suggests: testthat, roxygen2 (>= 3.1)
Description: Intensive longitudinal data have become increasingly prevalent in
    various scientific disciplines. Many such data sets are noisy, multivariate,
    and multi-subject in nature. The change functions may also be continuous, or
    continuous but interspersed with periods of discontinuities (i.e., showing
    regime switches). The package \pkg{dynr} (Dynamic Modeling in R) is an R package
    that implements a set of computationally efficient algorithms for handling a
    broad class of linear and nonlinear discrete- and continuous-time models with
    regime-switching properties under the constraint of linear Gaussian measurement
    functions. The discrete-time models can generally take on the form of a state-
    space or difference equation model. The continuous-time models are generally
    expressed as a set of ordinary or stochastic differential equations. All
    estimation and computations are performed in C, but users are provided with the
    option to specify the model of interest via a set of simple and easy-to-learn
    model specification functions in R. Model fitting can be performed using single-
    subject time series data or multiple-subject longitudinal data.
SystemRequirements: GNU make
NeedsCompilation: yes
License: Apache License (== 2.0)
LazyLoad: yes
LazyData: yes
Collate: 'dynrData.R' 'dynrRecipe.R' 'dynrModelInternal.R'
        'dynrModel.R' 'dynrCook.R' 'dynrPlot.R' 'dynrFuncAddress.R'
        'dynrMi.R' 'dynrVersion.R' 'dataDoc.R'
RdMacros: Rdpack
Biarch: true
Version: 0.1.10-10
RoxygenNote: 5.0.1
Packaged: 2017-05-19 23:04:25 UTC; mhunter
Repository: CRAN
Date/Publication: 2017-05-21 08:04:30 UTC
