brm_marginal_data: Marginal summaries of the data.

In brms.mmrm: Bayesian MMRMs using 'brms'

Marginal summaries of the data.

Description

Marginal summaries of the data.

Usage

brm_marginal_data(
  data,
  level = 0.95,
  use_subgroup = !is.null(attr(data, "brm_subgroup"))
)

Arguments

data	A classed data frame from brm_data(), or an informative prior archetype from a function like brm_archetype_successive_cells().
level	Numeric of length 1 from 0 to 1, level of the confidence intervals.
use_subgroup	Logical of length 1, whether to summarize the data by each subgroup level.

Value

A tibble with one row per summary statistic and the following columns:

• group: treatment group.

• subgroup: subgroup level. Only included if the subgroup argument of brm_marginal_data() is TRUE.

• time: discrete time point.

• statistic: type of summary statistic.

• value: numeric value of the estimate.

The statistic column has the following possible values:

• mean: observed mean response after removing missing values.

• median: observed median response after removing missing values.

• sd: observed standard deviation of the response after removing missing values.

• lower: lower bound of a normal equal-tailed confidence interval with confidence level determined by the level argument.

• upper: upper bound of a normal equal-tailed confidence interval with confidence level determined by the level argument.

• n_observe: number of non-missing values in the response.

• n_total: number of total records in the data for the given group/time combination, including both observed and missing values.

See Also

Other marginals: brm_marginal_draws(), brm_marginal_draws_average(), brm_marginal_grid(), brm_marginal_probabilities(), brm_marginal_summaries()

Examples

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"
)
brm_marginal_data(data = data)

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