Description Usage Arguments Author(s)
This function combines one or more existing prediction models into a so/called meta-model.
1 | stackedglm(models, family = binomial, data)
|
models |
a list containing the historical prediction models, which can be defined in several ways. For instance,
historical regression models can be specified using a named vector containing the regression coefficients of the
individual predictors (no need to include the intercept term). List items may also represent an object for
which the function |
family |
a description of the error distribution and link function to be used in the meta-model. This can be a character string naming a family function, a family function or the result of a call to a family function. (See family for details of family functions.) |
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 |
Thomas Debray <thomas.debray@gmail.com>
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