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Showing content from https://lindeloev.github.io/mcp/reference/get_segment_table.html below:

Build a table describing a list of segments — get_segment_table • mcp

Used internally for most mcp functions.

get_segment_table(model, data = NULL, family = gaussian(), par_x = NULL)

A list of formulas - one for each segment. The first formula has the format response ~ predictors while the following formulas have the format response ~ changepoint ~ predictors. The response and change points can be omitted (changepoint ~ predictors assumes same response. ~ predictors assumes an intercept-only change point). The following can be modeled:

• Regular formulas: e.g., ~ 1 + x). Read more.

• Extended formulas:, e.g., ~ I(x^2) + exp(x) + sin(x). Read more.

• Variance: e.g., ~sigma(1) for a simple variance change or ~sigma(rel(1) + I(x^2))) for more advanced variance structures. Read more

• Autoregression: e.g., ~ar(1) for a simple onset/change in AR(1) or ar(2, 0 + x) for an AR(2) increasing by x. Read more

Data.frame or tibble in long format.

One of gaussian(), binomial(), bernoulli(), or poission(). Only default link functions are currently supported.

String (default: NULL). Only relevant if no segments contains slope (no hint at what x is). Set this, e.g., par_x = "time".

A tibble with one row describing each segment and the corresponding code.

model = list(
  y ~ 1 + x,
  1 + (1|id) ~ 1
)
get_segment_table(model)

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