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