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%2FRJ-2019-012> provided a detailed introduction to the
interface and more information on the algorithms.
| Version: |
0.1.16-105 |
| Depends: |
R (≥ 3.0.0), ggplot2 |
| Imports: |
MASS, Matrix (≥ 1.5-0), numDeriv, xtable, latex2exp, grid, reshape2, plyr, mice, magrittr, methods, fda, car, stringi, tibble, deSolve, Rdpack |
| Suggests: |
testthat, roxygen2 (≥ 3.1), knitr, rmarkdown, RcppGSL |
| Published: |
2023-11-28 |
| DOI: |
10.32614/CRAN.package.dynr |
| Author: |
Lu Ou [aut],
Michael D. Hunter 
[aut, cre],
Sy-Miin Chow
[aut],
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] |
| Maintainer: |
Michael D. Hunter <mike.dynr at gmail.com> |
| Contact: |
<dynr@googlegroups.com> |
| License: |
GPL-3 |
| URL: |
https://dynrr.github.io/, https://github.com/mhunter1/dynr |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Citation: |
dynr citation info |
| Materials: |
README NEWS |
| CRAN checks: |
dynr results |