spatialEco (version 0.1-5)

loess.boot: Loess Bootstrap

Description

Bootstrap of a Local Polynomial Regression (loess)

Usage

loess.boot(x, y, nreps = 100, confidence = 0.95, ...)

Arguments

x

Independent variable

y

Dependent variable

nreps

Number of bootstrap replicates

confidence

Fraction of replicates contained in confidence region

...

Additional arguments passed to loess function

Value

nreps Number of bootstrap replicatesconfidence Confidence interval (region)span alpha (span) parameter used loess fitdegree polynomial degree used in loess fitnormalize Normalized data (TRUE/FALSE)family Family of statistic used in fitparametric Parametric approximation (TRUE/FALSE)surface Surface fit, see loess.controldata data.frame of x,y used in modelfit data.frame including: x Equally-spaced x index (see NOTES) y.fit loess fit up.lim Upper confidence interval low.lim Lower confidence interval stddev Standard deviation of loess fit at each x value

References

Cleveland, WS, (1979) Robust Locally Weighted Regression and Smoothing Plots Journal of the American Statistical Association 74:829-836

Efron, B., and R. Tibshirani (1993) An Introduction to the Bootstrap Chapman and Hall, New York

Hardle, W., (1989) Applied Nonparametric Regression Cambridge University Press, NY.

Tibshirani, R. (1988) Variance stabilization and the bootstrap. Biometrika 75(3):433-44.

Examples

 n=1000
 x <- seq(0, 4, length.out=n)	 
 y <- sin(2*x)+ 0.5*x + rnorm(n, sd=0.5)
 sb <- loess.boot(x, y, nreps=99, confidence=0.90, span=0.40)
 plot(sb)