# Predict method for segmented model fits

### Description

Returns predictions and optionally associated quantities (standard errors or confidence intervals) from a fitted segmented model object.

### Usage

1 2 |

### Arguments

`object` |
a fitted segmented model coming from |

`newdata` |
An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used. |

`...` |
further arguments passed to |

### Details

Basically `predict.segmented`

builds the right design matrix accounting for breakpoint and passes it
to `predict.lm`

or `predict.glm`

depending on the actual model fit `object`

.

### Value

`predict.segmented`

produces a vector of predictions with possibly associated standard errors or confidence intervals.
See `predict.lm`

or `predict.glm`

.

### Note

If `type="terms"`

, `predict.segmented`

returns predictions for each component of the segmented term.
Namely if ‘my.x’ is the segmented variable, predictions for ‘my.x’, ‘U1.my.x’ and ‘psi1.my.x’ are returned. These are
meaningless individually, however their sum provides the predictions for the segmented term.

### Author(s)

Vito Muggeo

### See Also

`plot.segmented`

, `broken.line`

, `predict.lm`

, `predict.glm`

### Examples

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