cv_lo2 | R Documentation |
Function provides the cross-validation error for the loess curve in a manner that is amenable to optimization of the span.
cv_lo2(
span,
form,
data,
cost = function(y, yhat) mean((y - yhat)^2, na.rm = TRUE),
K = n,
numiter = 100,
which = c("corrected", "raw")
)
span |
The span of the loess smoother. |
form |
The formula that identifies the model |
data |
A data frame containing the required variables. |
cost |
Cost function to be passed down to loess. |
K |
Number of folds for the cross-validation |
numiter |
Number of times over which the cv error will be aggregated |
which |
Return raw or corrected cv error |
The cross-validation error from the loess curve.
Dave Armstrong
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