categorical_example_fit: Model Fit for the Simulated Categorical Multivariate Panel...

In dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data

Model Fit for the Simulated Categorical Multivariate Panel Data

Description

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

set.seed(1)
library(dynamite)
f <- obs(x ~ z + lag(x) + lag(y), family = "categorical") +
  obs(y ~ z + lag(x) + lag(y), family = "categorical")
categorical_example_fit <- dynamite(
  f,
  data = categorical_example,
  time = "time",
  group = "id",
  chains = 1,
  refresh = 0,
  thin = 5,
  save_warmup = FALSE
)

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

Usage

categorical_example_fit

Format

A dynamitefit object.

Source

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

See Also

Example models categorical_example, gaussian_example, gaussian_example_fit, multichannel_example, multichannel_example_fit

dynamite documentation built on April 12, 2025, 1:18 a.m.