avas

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avas: Additivity and variance stabilization for regression

Usage
avas(x, y, wt, mon, lin, cat, circ, delrsq,yspan)
Arguments
x
a matrix containing the independent variables.
y
a vector containing the response variable.
wt
an optional vector of weights.
mon
an optional integer vector specifying which variables are to be transformed by monotone transformations. Positive values in mon refer to columns of the x matrix and zero to the response variable.
lin
an optional integer vector specifying which variables are to be transformed by linear transformations. Positive values in lin refer to columns of the x matrix and zero to the response variable.
cat
an optional integer vector specifying which variables assume categorical values. Positive values in cat refer to columns of the x matrix and zero to the response variable.
circ
an integer vector specifying which variables assume circular (periodic) values. Positive values in circ refer to columns of the x matrix and zero to the response variable.
delrsq
termination threshold. Iteration stops when R-squared changes by less than delrsq in 3 consecutive iterations (default 0.01).
yspan
Optional window size parameter for smoothing the variance. Range[0,1]. Default=0 (cross validated choice). .5 is a reasonable alternative to try.
bold

  • VALUE
  • REFERENCE

item

  • x
  • y
  • tx
  • ty
  • rsq
  • l
  • m
  • yspan
  • iters
  • niters

emph

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Aliases
Examples
TWOPI <- 8*atan(1)
x <- runif(200,0,TWOPI)
y <- exp(sin(x)+rnorm(200)/2)
a <- avas(x,y)
par(mfrow=c(3,1))
plot(a$y,a$ty)  # view the response transformation
plot(a$x,a$tx)  # view the carrier transformation
plot(a$tx,a$ty) # examine the linearity of the fitted model
Documentation reproduced from package acepack, version 1.0-4, License: avas is public domain, ace is on Statlib

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