Calculates the optimal span for a loess spline — optimal_span • phenocamr

The optimal span is calculated based upon the bayesian information criterion (BIC).

optimal_span(
  y,
  x = NULL,
  weights = NULL,
  step = 0.01,
  label = NULL,
  plot = FALSE
)

Arguments

y: a vector with measurement values to smooth
x: a vector with dates / time steps
weights: optional values to weigh the loess fit with
step: span increment size
label: title to be used when plotting function output
plot: plot visual output of the optimization routine

Value

Returns an optimal span to smooth a provided vector using the `loess()` smoother.

Examples


if (FALSE) { # \dontrun{
# Internal function only, should not be used stand-alone.
l <- sin(seq(1,10,0.01))
l <- l + runif(length(l))
optimal_span(l, plot = TRUE)
} # }