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All functions

AmpFromLocation()
Get amplitude of seasonal cycle from location
ClimPowerFunction()
Power function for climate
ErrDiff2TimeSlices()
Estimate the error on the difference between two time-slices
ExpectedCorrelation()
Expected correlation between replicate proxy records and between a proxy record and the true climate
GetNu()
Get the discrete frequencies of the power spectrum of a regularly sampled timeseries.
GetProxyError()
Get error from proxy.error.var object
GetSpecPars()
Create list of required parameters for ProxyErrorSpectrum
IntegrateErrorSpectra()
Integrate Error Spectra
ModelSpectrum()
Create a model SST spectrum based on the observed spectra and a powerlaw spectrum
OrbitalError()
Get the orbital error components
OrderStages()
Order the stages/components of the error
PlotModelSpectrum()
Plot a spliced empirical / power-law climate spectrum
PlotSpecError()
Plot a proxy error spectrum
PlotTSDVariance()
Plot Time-scale Dependent Variance Object.
ProxyErrorSpectrum()
Power Spectral Density of the Error in a Sediment Archived Proxy Timeseries
RelativeAmplitudeModulation()
Return the fraction of the orbital variations in the seasonal amplitude relative to the mean seasonal amplitude
S_E()
Get error components for stochastic climate signal
SmoothIrregular()
Regularise and smooth an irregular timeseries.
TF.f_bs()
Bioturbation Transfer Function.
VarSine()
Variance of a Sine wave
asinc()
Aliased sinc function
plot(<proxy.error.spec>)
Plot method for error spec
psem
psem: Proxy Spectral Error Model
rhoCI()
Confidence interval of a correlation coefficient
sinc()
Normalized sinc function