setup.smart {VGAM} | R Documentation

## 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 `object@smart.prediction` 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.

### 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).

### 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.

### See Also

`lm`, `predict.lm`.

### Examples

    ## Not run:
    setup.smart("write")  # Put at the beginning of lm

    ## End(Not run)

    ## Not run: # Put at the beginning of predict.lm
    setup.smart("read", smart.prediction = object$smart.prediction)

    ## End(Not run)

[Package VGAM version 1.1-1 Index]