stan_unconstrainsamples

<p>only necessary if R session has been restarted since fitting model -- used to reinitialize 
stanfit object.</p>

standata

<p>Convert samples from a stanfit object to the unconstrained scale</p>

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.

Charles Driver

ctsem

stan_unconstrainsamples: Convert samples from a stanfit object to the unconstrained scale

Description

Usage

Arguments

Value

Examples