Description Usage Arguments Details Value Note Author(s) See Also Examples

View source: R/predict.logbin.smooth.r

Obtains predictions from a fitted `logbin.smooth`

object.

1 2 3 |

`object` |
a fitted object of class inheriting from |

`newdata` |
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used. |

`type` |
the type of prediction required. The default is on the scale of the linear predictors;
the alternative The value of this argument can be abbreviated. |

`terms` |
with |

`na.action` |
function determining what should be done with missing values in |

`...` |
further arguments passed to or from other methods. |

`predict.logbin.smooth`

constructs the underlying basis functions for smooth variables
in `newdata`

and runs `predict.logbin`

to obtain predictions. Note that
if values of smooth covariates in `newdata`

are outside the covariate space of
`object`

, an error will be returned.

If `newdata`

is omitted, the predictions are based on the data used for the fit.
In that case how cases with missing values in the original fit are treated is determined by the
`na.action`

argument of that fit. If `na.action = na.omit`

, omitted cases
will not appear in the residuals, whereas if `na.action = na.exclude`

they will
appear, with residual value `NA`

. See also `napredict`

.

A vector or matrix of predictions. For `type = "terms"`

, this is a matrix with
a column per term, and may have an attribute `"constant"`

.

Variables are first looked for in `newdata`

and then searched for in the usual
way (which will include the environment of the formula used in the fit). A warning
will be given if the variables found are not of the same length as those in
`newdata`

if it was supplied.

Mark W. Donoghoe [email protected]

`predict.glm`

for the equivalent method for models fit using `glm`

.

1 | ```
## For an example, see example(logbin.smooth)
``` |

mdonoghoe/logbin documentation built on May 22, 2017, 2:16 a.m.

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