stan_inits: Calculate Initial Values for Stan VM Model

In varian: Variability Analysis in R

Description

Internal function used to get rough starting values for a variability model in Stan. Uses inidivudal standard deviations, means, and linear regressions.

Usage

stan_inits(stan.data, design = c("V -> Y", "V -> M -> Y", "V", "X -> V",
  "X -> V -> Y", "X -> M -> V"), useU, ...)

Arguments

stan.data	A list containing the data to be passed to Stan
design	A character string indicating the type of model to be run. One of “V -> Y” for variability predicting an outcome, “V -> M -> Y” for mediation of variability on an outcome, “V” to take posterior samples of individual variability estimates alone.
useU	whether to include the random intercepts
...	Additional arguments (not currently used)

Value

A named list containing the initial values for Stan.

Author(s)

Joshua F. Wiley <[e-mail]>

Examples

# make me!

Example output

Loading required package: rstan
Loading required package: ggplot2
Loading required package: StanHeaders
rstan (Version 2.16.2, packaged: 2017-07-03 09:24:58 UTC, GitRev: 2e1f913d3ca3)
For execution on a local, multicore CPU with excess RAM we recommend calling
rstan_options(auto_write = TRUE)
options(mc.cores = parallel::detectCores())

varian documentation built on May 2, 2019, 6:09 a.m.