predictSpline: A custom spline prediction function, extending linearly with...

In CenterForStatistics-UGent/compIntegrate: Compositional omics model based visual integration

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

CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.