brms (version 0.5.0)

brmpars: Parameters of interest for brms models (deprecated)

Description

Parameters of interest for brms models (deprecated)

Usage

brmpars(formula, data = NULL, family = "gaussian", autocor = NULL,
  partial = NULL, threshold = "flexible", ranef = TRUE)

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 the e

family

A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported: "gaussian", "student", "cauchy",

autocor

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

partial

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

threshold

A character string indicating the type of thresholds (i.e. intercepts) used in an ordinal model. "flexible" provides the standard unstructured thresholds and "equidistant" restricts the distance between consecutive thresholds to

ranef

logical; indicating if random effects estimates should be returned

Value

• A vector of character strings specifying parameters of interest for models produced by the brms package.

Details

This function is depricated. Parameters of interest are now chosen by exclusion not by inclusion.

Examples

brmpars(rating ~ treat + period + carry + (1|subject),
         data = inhaler, family = "cumulative")