Use the returned output from `computeRawError()` to compute CV statistics.
computeStats(cvstuff, foldid, lambda, grouped)Output from a call to `computeRawError()`.
Vector of values identifying which fold each observation is in.
Lambda values associated with the errors in `cvstuff`.
Experimental argument; see `kfoldcv()` documentation for details.
A list with the following elements:
The values of lambda used in the fits.
The mean cross-validated error: a vector of length `length(lambda)`.
Estimate of standard error of `cvm`.
Upper curve = `cvm + cvsd`.
Lower curve = `cvm - cvsd`.