inv_logit

value to calculate the inverse logit for.


Maps the stan function so the same code works in R.


A multivariate continuous (and discrete) time dynamic modelling
package for panel and time series data, using linear 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 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.

inv_logit: Inverse logit

Description

Usage

Arguments

Examples