predictSpline {combi} | R Documentation

## A custom spline prediction function, extending linearly with a slope such that prediction never drops below first bisectant

### Description

A custom spline prediction function, extending linearly with a slope such that prediction never drops below first bisectant

### Usage

    predictSpline(fit, newdata, linX, coefsQuad, deriv = 0L, meanVarFit,
      minFit, new.knots, degree)

### Arguments

`fit` | The existing spline fit
`newdata` | points in which the spline needs to be evaluated
`linX` | The x at which the fit becomes linear and intersects the diagonal line
`coefsQuad` | parameters of a quadratic fit
`deriv` | An integer. Which derivative is required?
`meanVarFit` | A character string, indicating which type of mean variance fit is being used
`minFit` | The lower bound of the cubic fit
`new.knots` | The knots at which the spline is to be evaluated
`degree` | The degree of the polynomial fit

### Value

The evaluation of the spline, i.e. the predicted variance

[Package combi version 1.6.0 Index]