ctStanPostPredict

Logical, whether to plot a legend.

legend

Logical, if TRUE, waits for input before plotting next plot.

wait

Compares model implied density and values to observed, for a ctStanFit object.

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.

Charles Driver

ctStanPostPredict: Compares model implied density and values to observed, for a ctStanFit object.

Description

Usage

Arguments

Value

Details

Examples