brm_plot_draws: Visualize posterior draws of marginals.

In brms.mmrm: Bayesian MMRMs using 'brms'

Visualize posterior draws of marginals.

Description

Visualize posterior draws of marginals.

Usage

brm_plot_draws(draws, axis = "time", facet = c("group", "subgroup"))

Arguments

draws	A data frame of draws from an element of the output list of brm_marginal_summaries().
axis	Character of length 1 identifying the quantity to put on the horizontal axis. Must be be one of "time" or "group" if the marginal summaries are not subgroup-specific. If the marginals are subgroup-specific, then axis must be one of "time", "group", or "subgroup".
facet	Character vector of length 1 or 2 with quantities to generate facets. Each element must be "time", "group", or "subgroup", and c(axis, facet) must all have unique elements. "subgroup" is automatically removed if the marginals have no subgroup. If facet has length 1, then faceting is wrapped. If facet has length 2, then faceting is in a grid, and the first element is horizontal facet.

Value

A ggplot object.

See Also

Other visualization: brm_plot_compare()

Examples

if (identical(Sys.getenv("BRM_EXAMPLES", unset = ""), "true")) {
set.seed(0L)
data <- brm_data(
  data = brm_simulate_simple()$data,
  outcome = "response",
  group = "group",
  time = "time",
  patient = "patient",
  reference_group = "group_1",
  reference_time = "time_1"
)
formula <- brm_formula(
  data = data,
  baseline = FALSE,
  baseline_time = FALSE
)
tmp <- utils::capture.output(
  suppressMessages(
    suppressWarnings(
      model <- brm_model(
        data = data,
        formula = formula,
        chains = 1,
        iter = 100,
        refresh = 0
      )
    )
  )
)
draws <- brm_marginal_draws(data = data, formula = formula, model = model)
brm_plot_draws(draws = draws$difference_time)
}

brms.mmrm documentation built on Oct. 3, 2024, 1:08 a.m.