bootstrap.wa: Bootstrap estimation and errors for WA models

In gavinsimpson/analogue: Analogue and Weighted Averaging Methods for Palaeoecology

Description

Function to calculate bootstrap statistics for transfer function models such as bootstrap estimates, model RMSEP, sample specific errors for predictions and summary statistics such as bias and R^2 between oberved and estimated environment.

Usage

## S3 method for class 'wa'
bootstrap(object, n.boot = 1000, verbose = TRUE, ...)

Arguments

object	an R object of class "wa" for which bootstrap statistics are to be generated.
n.boot	numeric; the number of bootstrap samples to draw.
verbose	logical; should bootstrap progress be printed to the console?
...	arguments passed to other methods.

Details

See bootstrap.mat for further details. This method is not as feature packed as bootstrap.mat but can be used to evaluate the model performance of WA transfer function models.

Value

An object with the same components as predict.wa.

Author(s)

Gavin L. Simpson

References

Birks, H.J.B., Line, J.M., Juggins, S., Stevenson, A.C. and ter Braak, C.J.F. (1990). Diatoms and pH reconstruction. Philosophical Transactions of the Royal Society of London; Series B, 327; 263–278.

See Also

wa, plot.wa.

Examples

## Imbrie and Kipp
data(ImbrieKipp)
data(SumSST)
ik.wa <- wa(SumSST ~ ., data = ImbrieKipp, tol.dw = TRUE,
            min.tol = 2, small.tol = "min")
ik.wa

## compare actual tolerances to working values
with(ik.wa, rbind(tolerances, model.tol))

## bootstrap the WA model
ik.boot <- bootstrap(ik.wa, n.boot = 100)

## performance statistics
performance(ik.boot)

gavinsimpson/analogue documentation built on June 17, 2021, 2:37 a.m.