VGAM (version 1.1-2)

setup.smart: Smart Prediction Setup

Description

Sets up smart prediction in one of two modes: "write" and "read".

Usage

setup.smart(mode.arg, smart.prediction = NULL, max.smart = 30)

Arguments

mode.arg

mode.arg must be "write" or "read". If in "read" mode then smart.prediction must be assigned the data structure .smart.prediction that was created while fitting. This is stored in [e-mail] or object$smart.prediction where object is the name of the fitted object.

smart.prediction

If in "read" mode then smart.prediction must be assigned the list of data dependent parameters, which is stored on the fitted object. Otherwise, smart.prediction is ignored.

max.smart

max.smart is the initial length of the list .smart.prediction. It is not important because .smart.prediction is made larger if needed.

Value

Nothing is returned.

Side Effects

In "write" mode .smart.prediction in smartpredenv is assigned an empty list with max.smart components. In "read" mode .smart.prediction in smartpredenv is assigned smart.prediction. Then .smart.prediction.counter in smartpredenv is assigned the value 0, and .smart.prediction.mode and .max.smart are written to smartpredenv too.

Details

This function is only required by programmers writing a modelling function such as lm and glm, or a prediction functions of such, e.g., predict.lm. The function setup.smart operates by mimicking the operations of a first-in first-out stack (better known as a queue).

See Also

lm, predict.lm.

Examples

# NOT RUN {
setup.smart("write")  # Put at the beginning of lm
# }
# NOT RUN {
# }
# NOT RUN {
# Put at the beginning of predict.lm
setup.smart("read", smart.prediction = object$smart.prediction)
# }