Title: Companion package to "Dynamic Prediction in Clinical Survival
Description: Functions for dynamic prediction in survival analysis

Title: Companion Package to "Dynamic Prediction in Clinical Survival
Description: The dynpred package contains functions for dynamic prediction in survival analysis.

Title: Dynamic Programming Domain-Specific Language
Description: A domain-specific language for specifying translating recursions

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"),
Imports: MASS, Matrix, numDeriv, xtable, latex2exp, grid, reshape2,
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.

regime switches). The package 'dynr' (Dynamic Modeling in R) is an R package

Suggests: testthat, roxygen2 (>= 3.1), knitr, rmarkdown

person(c("Michael", "D."), "Hunter", role=c("aut", "cre"), email="mhunter.ou@gmail.com", comment=c(ORCID = "0000-0002-3651-6709")),
plyr, mice, magrittr, Rdpack, methods, fda, car, stringi,
Michael D. Hunter [aut, cre] (<https://orcid.org/0000-0002-3651-6709>),