A plotting method for constructing scalewise regression plot
mra.plot(
betas,
order = 1,
ci = FALSE,
iterations = NULL,
return.ci = FALSE,
loess.beta = FALSE,
loess.ci = FALSE
)an object containing modeling results from multiscale regression
analysis. The object should be returned from the mra function of this
package.
integer representing the detrending order used in the mra
calculation. Default is 1.
a logical indicating whether confidence intervals should be
computed using the iaafft function from this package. NOTE: with long
time series (>> than N = 1,000), this can greatly reduce processing speed.
Confidence intervals can be used for conventional significance testing of
scale-wise correlation coefficients.
integer that specifies the the number of surrogate time series to be generated for the purpose of confidence intervals. Default = 19. Larger number of surrogates will slow computational speed but produce better confidence interval estimates.
logical indicating whether the confidence intervals should be returned
logical indicating whether a loess fit should be used for displaying multiscale regression coefficient trajectories
logical indicating whether a loess fit should be used to smooth confidence intervals