brms (version 0.9.1)

make_standata: Data for brms Models

Description

Generate data for brms models to be passed to Stan

Usage

make_standata(formula, data = NULL, family = "gaussian", prior = NULL,
  autocor = NULL, nonlinear = NULL, partial = NULL, cov_ranef = NULL,
  sample_prior = FALSE, control = NULL, ...)

Arguments

formula

An object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. The details of model specification are given under 'Details'.

data

An optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically t

family

A description of the error 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. Currently, the following families are supported: gaussian

prior

One or more brmsprior objects created by function set_prior and combined using the c method. A single brmsprior object may be passed without

autocor

An optional cor_brms object describing the correlation structure within the response variable (i.e. the 'autocorrelation'). See the documentation of cor_brms

nonlinear

An optional list of formuluas, specifying linear models for non-linear parameters. If NULL (the default) formula is treated as an ordinary formula. If not NULL, formula is treated as a non-linear mo

partial

(Deprecated) A one sided formula of the form ~expression allowing to specify predictors with category specific effects in non-cumulative ordinal models (i.e. in families cratio, sratio, or acat).

cov_ranef

A list of matrices that are proportional to the (within) covariance structure of the random effects. The names of the matrices should correspond to columns in data that are used as grouping factors. All levels of the grouping factor s

sample_prior

A flag to indicate if samples from all specified proper priors should be drawn additionally to the posterior samples (defaults to FALSE). Among others, these samples can be used to calculate Bayes factors for point hypotheses. Alternat

control

A named list currently for internal usage only

...

Other potential arguments

Value

• A named list of objects containing the required data to fit a brms model with Stan.

Examples

data1 <- make_standata(rating ~ treat + period + carry + (1|subject), 
                       data = inhaler, family = "cumulative")
names(data1)

data2 <- make_standata(count ~ log_Age_c + log_Base4_c * Trt_c 
                       + (1|patient) + (1|visit), 
                       data = epilepsy, family = "poisson")
names(data2)