ClamR-package {ClamR}

Climate Change with Proxies

Description

This program implements and improves upon the Wilkinson and Ivany approach to climate time series modeling. The jackknife is used to estimate the 95 percent confidence bounds for the modeled estimates. dx should be chosen to be approximately half a cycle or more.

Author(s)

Jonathan M. Lees

Maintainer: Jonathan M. Lees<[e-mail]>

References

Wilkinson, B. H. and Ivany, L. C., Paleoclimatic inference from stable isotope profiles of accretionary biogenic hardparts; a quantitative approach to the evaluation of incomplete data, Palaeogeography, Palaeoclimatology, Palaeoecology, vol. 185, no. 1-2, pp.95-114, 01 Sep 2002.

Wang, T., Surge, D., and Lees, J. M., (2015) ClamR: A Statistical Evaluation of Isotopic and Temperature Records in Sclerochronologic Studies. Palaeogeography, Palaeoclimatology, Palaeoecology, doi:10.1016/j.palaeo.2015.07.008.

Examples

## Not run: 
data(CLAM1)
x = CLAM1$x
y = CLAM1$y

dx = 3.392

gout = proxyJK(x, y, dx)

plotproxy1(x, y, gout)

par(mfrow=c(2,1))

plotproxy.error(x, y, gout, type = 1)
plotproxy.error(x, y, gout, type = 2)


par(mfrow=c(2,1))
plotproxy.error(x, y, gout, type = 2)

plotproxy.all2(gout,YAXstyle=1 )

## End(Not run)