deshrink {analogue}R Documentation

Deshrinking techniques for WA transfer functions

Description

In Weighted Averaging models averages are taken twice and thus WA estimates shrink towards the training set mean and need to be deshrunk.deshrink performs this deshrinking using several techniques, whilst deshrinkPred will deshrink WA estimates for new samples given a set of deshrinking coefficients.

Usage

deshrink(env, wa.env,
         type = c("inverse", "classical", "expanded", "none",
                  "monotonic"))

deshrinkPred(x, coef,
         type = c("inverse", "classical", "expanded", "none",
                  "monotonic"))

Arguments

env

numeric; original environmental values.

wa.env

numeric; initial weighted average estimates.

type

character; the type of deshrinking. One of "inverse", "classical", "expand", "none".

x

numeric; estimates to be deshrunk.

coef

numeric; deshrinking coefficients to use. Currently needs to be a vector of length 2. These should be supplied in the order beta[0], beta[1].

Value

For deshrinkPred a numeric vector of deshrunk estimates.

For an object of class "deshrink", inheriting from class "list", with two components. The type of deshrinking performed is stroed within attribute "type". The componets of the returned object are:

coefficients

The deshrinking coefficients used.

env

The deshrunk WA estimates.

Warning

deshrinkPred, does not currently check that the correct coefficients have been supplied in the correct order.

Author(s)

Gavin L. Simpson \& Jari Oksanen

References

Birks, H.J.B. (1995) Quantitative environmental reconstructions. In Statistical modelling of Quaternary science data (eds.~D.Maddy \& J.S. Brew). Quaternary Research Association technical guide 5. Quaternary Research Association, Cambridge.

See Also

wa


[Package analogue version 0.17-6 Index]