Generate data for brms models to be passed to Stan
make_standata(formula, data, family = gaussian(), prior = NULL,
autocor = NULL, cov_ranef = NULL, sample_prior = c("no", "yes",
"only"), stanvars = NULL, knots = NULL, check_response = TRUE,
only_response = FALSE, control = list(), ...)An object of class formula,
brmsformula, or mvbrmsformula (or one that can
be coerced to that classes): A symbolic description of the model to be
fitted. The details of model specification are explained in
brmsformula.
An object of class data.frame (or one that can be coerced
to that class) containing data of all variables used in the model.
A description of the response distribution and link function to
be used in the model. This can be a family function, a call to a family
function or a character string naming the family. Every family function has
a link argument allowing to specify the link function to be applied
on the response variable. If not specified, default links are used. For
details of supported families see brmsfamily. By default, a
linear gaussian model is applied. In multivariate models,
family might also be a list of families.
An optional cor_brms object describing the
correlation structure within the response variable (i.e., the
'autocorrelation'). See the documentation of cor_brms for a
description of the available correlation structures. Defaults to
NULL, corresponding to no correlations. In multivariate models,
autocor might also be a list of autocorrelation structures.
A list of matrices that are proportional to the (within)
covariance structure of the group-level effects. The names of the matrices
should correspond to columns in data that are used as grouping
factors. All levels of the grouping factor should appear as rownames of the
corresponding matrix. This argument can be used, among others to model
pedigrees and phylogenetic effects. See
vignette("brms_phylogenetics") for more details.
Indicate if samples from all specified proper priors
should be drawn additionally to the posterior samples (defaults to
"no"). Among others, these samples can be used to calculate Bayes
factors for point hypotheses via hypothesis. If set to
"only", samples are drawn solely from the priors ignoring the
likelihood, which allows among others to generate samples from the prior
predictive distribution. In this case, all parameters must have proper
priors.
An optional stanvars object generated by function
stanvar to define additional variables for use in
Stan's program blocks.
Optional list containing user specified knot values to be used
for basis construction of smoothing terms. See
gamm for more details.
Logical; check validity of the response?
Logical; extract data related to the response only?
A named list currently for internal usage only
Other potential arguments
A named list of objects containing the required data to fit a brms model with Stan.
# NOT RUN {
data1 <- make_standata(rating ~ treat + period + carry + (1|subject),
data = inhaler, family = "cumulative")
names(data1)
data2 <- make_standata(count ~ zAge + zBase * Trt + (1|patient),
data = epilepsy, family = "poisson")
names(data2)
# }
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