makespline {goseq} | R Documentation

## Monotonic Spline

### Description

Fits a monotonic cubic spline to the data provided, using the penalized constrained least squares method from the `mgcv` package.

### Usage

    makespline(x, y, newX=NULL, nKnots = 6, lower_bound = 10^-3)

### Arguments

`x` | The predictor variable.
`y` | The response variable. Must be the same length as `x`.
`newX` | The points at which to return the value on the fitted spline. If not specified `x` is used.
`nKnots` | The number of knots to use in fitting the spline.
`lower_bound` | The spline cannot drop below this value.

### Details

This uses the `pcls` function from the mgcv package to produce the fit. The montonicity constraint is enforced using `mono.con` from the same package. The `lower_bound` argument is only used on the rare occasions when the fitting function becomes negative or arbitrarily close to zero. If this does occur `lower_bound` is added everywhere to ensure that no one length is given essentially infinite weighting.

### Value

Returns a vector of values containing the value of the fit at each point `newX`.

### Author(s)

Matthew D. Young myoung@wehi.edu.au.

### References

Package mgcv. In particular this function is a modification of an example given in the man page for `pcls`.

### Examples

    y <- c( rbinom(50,p=0.4,size=1), rbinom(50,p=0.6,size=1) )
    x <- 1:100
    plot(x,y)
    p <- makespline(x,y)
    lines(x,p)

[Package goseq version 1.42.0 Index]