rstan (>= 2.13), plyr, Matrix, stats, utils, graphics,
methods, grDevices, parallel

rstan (>= 2.13), plyr, Matrix, stats, utils, graphics,
methods, grDevices, parallel, shiny

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.
rstan (>= 2.17.3), rstantools (>= 1.5.0), plyr, Matrix,
datasets, stats, graphics, grDevices, parallel, shiny, MASS,
methods, utils, corrplot, mvtnorm

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

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.

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, ucminf