Get example models and data

Get example models and data

mcp_example(name, sample = FALSE)

Arguments

name

Name of the example. One of: "demo": Two change points between intercepts and joined/disjoined slopes. "ar": One change point in autoregressive residuals. "binomial": Binomial with two change points. Much like "demo" on a logit scale. "intercepts": An intercept-only change point. rel_prior: Relative parameterization and informative priors. "quadratic": A change point to a quadratic segment. "trigonometric": Trigonometric/seasonal data and model. "varying": Varying / hierarchical change points. "variance": A change in variance, including a variance slope.

sample

TRUE (run fit = mcp(model, data, ...)) or FALSE.

Value

List with

• model: A list of formulas

• data: The simulated data

• simulated: The parameters used for simulating the data.

• fit: an mcpfit if sample = TRUE,

• call: the code to run the above.

Examples

# \donttest{
ex = mcp_example("demo")
plot(ex$data)  # Plot data
print(ex$simulated)  # See true parameters used to simulate
print(ex$call)  # See how the data was simulated

# Fit the model. Either...
fit = mcp(ex$model, ex$data)
plot(fit)

ex_with_fit = mcp_example("demo", sample = TRUE)
plot(ex_with_fit$fit)
# }