inv_logit

<p>value to calculate the inverse logit for.</p>

<p>Maps the stan function so the same code works in R.</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

inv_logit: Inverse logit

Description

Usage

Arguments

Examples