brm_marginal_draws {brms.mmrm} | R Documentation |
MCMC draws from the marginal posterior of an MMRM
Description
Get marginal posterior draws from a fitted MMRM.
Usage
brm_marginal_draws(
model,
data,
use_subgroup = !is.null(attr(data, "brm_subgroup")),
control = NULL,
baseline = NULL
)
Arguments
model |
Fitted |
data |
Classed tibble with preprocessed data from |
use_subgroup |
Logical of length 1, whether to summarize the draws by
each subgroup level. If |
control |
Deprecated. Set the control group level in |
baseline |
Deprecated. Set the control group level in |
Value
A named list of tibbles of MCMC draws of the marginal posterior
distribution of each treatment group and time point
(or group-by-subgroup-by-time, if applicable).
In each tibble, there is 1 row per posterior sample and one column for
each type of marginal distribution (i.e. each combination of treatment
group and discrete time point. The specific tibble
s in the returned
list are described below:
-
response
: on the scale of the response variable. -
difference_time
: change from baseline: theresponse
at a particular time minus theresponse
at baseline (reference_time
). Only returned if therole
argument ofbrm_data()
was"response"
. (Ifrole
is"change"
, thenresponse
already represents change from baseline.) -
difference_group
: treatment effect: the thedifference_time
at each active group minus thedifference_time
at the control group (reference_group
). Ifrole
is"change"
, then treatment group is instead the difference betweenresponse
at each active group minus theresponse
at the control group. -
difference_subgroup
: subgroup differences: thedifference_group
at each subgroup level minus thedifference_group
at the subgroup reference level (reference_subgroup
).
Separation string
Post-processing in brm_marginal_draws()
names each of the
group-by-time marginal means with the delimiting character string
from Sys.getenv("BRM_SEP", unset = "|")
. Neither the column names
nor element names of the group and time variables can contain
this string. To set a custom string yourself, use
Sys.setenv(BRM_SEP = "YOUR_CUSTOM_STRING")
.
See Also
Other marginals:
brm_marginal_data()
,
brm_marginal_draws_average()
,
brm_marginal_probabilities()
,
brm_marginal_summaries()
Examples
if (identical(Sys.getenv("BRM_EXAMPLES", unset = ""), "true")) {
set.seed(0L)
data <- brm_data(
data = brm_simulate_simple()$data,
outcome = "response",
role = "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
)
)
)
)
brm_marginal_draws(model = model, data = data)
}