c(person("Lu", "Ou", role="aut"),
person(c("Michael", "D."), "Hunter", role=c("aut", "cre"), email="mhunter.ou@gmail.com", comment=c(ORCID = "0000-0002-3651-6709")),
person("Sy-Miin", "Chow", role="aut", comment=c(ORCID = "0000-0003-1938-027X")),
person("Linying", "Ji", role="aut", email=""),
person("Meng", "Chen", role="aut", email=""),
person("Hui-Ju", "Hung", role="aut", email=""),
person("Jungmin", "Lee", role="aut", email="leejapply@gmail.com"),
person("Yanling", "Li", role="aut", email=""),
person("Jonathan", "Park", role="aut", email=""))
Lu Ou [aut],
Michael D. Hunter [aut, cre] (<https://orcid.org/0000-0002-3651-6709>),
Sy-Miin Chow [aut] (<https://orcid.org/0000-0003-1938-027X>),
Linying Ji [aut],
Meng Chen [aut],
Hui-Ju Hung [aut],
Jungmin Lee [aut],
Yanling Li [aut],
Jonathan Park [aut]

c(person("Lu", "Ou", role="aut"),
person(c("Michael", "D."), "Hunter", role=c("aut", "cre"), email="dynr.team@gmail.com", comment=c(ORCID = "0000-0002-3651-6709")),
person("Sy-Miin", "Chow", role="aut", comment=c(ORCID = "0000-0003-1938-027X")),
person("Linying", "Ji", role="aut", email=""),
person("Meng", "Chen", role="aut", email=""),
person("Hui-Ju", "Hung", role="aut", email=""),
person("Jungmin", "Lee", role="aut", email="leejapply@gmail.com"),
person("Yanling", "Li", role="aut", email=""),
person("Jonathan", "Park", role="aut", email=""))
'dynrData.R' 'dynrRecipe.R' 'dynrModelInternal.R'
'dynrModel.R' 'dynrCook.R' 'dynrPlot.R' 'dynrFuncAddress.R'
'dynrMi.R' 'dynrTaste.R' 'dynrVersion.R' 'dataDoc.R'
'dynrGetDerivs.R' 'dynrPredict.R'

c(person("Lu", "Ou", role="aut"),
person(c("Michael", "D."), "Hunter", role=c("aut", "cre"), email="mike.dynr@gmail.com", comment=c(ORCID = "0000-0002-3651-6709")),
person("Sy-Miin", "Chow", role="aut", comment=c(ORCID = "0000-0003-1938-027X")),
person("Linying", "Ji", role="aut", email=""),
person("Meng", "Chen", role="aut", email=""),
person("Hui-Ju", "Hung", role="aut", email=""),
person("Jungmin", "Lee", role="aut", email="leejapply@gmail.com"),
person("Yanling", "Li", role="aut", email=""),
person("Jonathan", "Park", role="aut", email=""),
person("Massachusetts Institute of Technology", role="cph"),
person("S. G.", "Johnson", role="cph"),
person("Benoit", "Scherrer", role="cph"),
person("Dieter", "Kraft", role="cph"))
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 '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. Ou, Hunter, &
Chow (2019) <doi:10.32614/RJ-2019-012> provided a detailed introduction to the
interface and more information on the algorithms.
Lu Ou [aut],
Michael D. Hunter [aut, cre] (<https://orcid.org/0000-0002-3651-6709>),
Sy-Miin Chow [aut] (<https://orcid.org/0000-0003-1938-027X>),
Linying Ji [aut],
Meng Chen [aut],
Hui-Ju Hung [aut],
Jungmin Lee [aut],
Yanling Li [aut],
Jonathan Park [aut],
Massachusetts Institute of Technology [cph],
S. G. Johnson [cph],
Benoit Scherrer [cph],
Dieter Kraft [cph]