Model Fit for the Simulated Multivariate Panel Data

A dynamitefit object obtained by running dynamite on the multichannel_example dataset as

set.seed(1)
library(dynamite)
f <- obs(g ~ lag(g) + lag(logp), family = "gaussian") +
  obs(p ~ lag(g) + lag(logp) + lag(b), family = "poisson") +
  obs(b ~ lag(b) * lag(logp) + lag(b) * lag(g), family = "bernoulli") +
  aux(numeric(logp) ~ log(p + 1))
multichannel_example_fit <- dynamite(
  f,
  data = multichannel_example,
  time = "time",
  group = "id",
  chains = 1,
  cores = 1,
  iter = 2000,
  warmup = 1000,
  init = 0,
  refresh = 0,
  thin = 5,
  save_warmup = FALSE
)

Note the small number of samples due to size restrictions on CRAN.

Usage

multichannel_example_fit

Format

A dynamitefit object.

Source

THe data was generated via multichannel_example_fit.R in https://github.com/ropensci/dynamite/tree/main/data-raw/

See also

Example models categorical_example, categorical_example_fit, gaussian_example, gaussian_example_fit, multichannel_example