computeStats: Compute CV statistics
In cvwrapr: Tools for Cross Validation

Use the returned output from 'computeRawError()' to compute CV statistics.

1	computeStats(cvstuff, foldid, lambda, grouped)

`cvstuff`	Output from a call to 'computeRawError()'.
`foldid`	Vector of values identifying which fold each observation is in.
`lambda`	Lambda values associated with the errors in 'cvstuff'.
`grouped`	Experimental argument; see 'kfoldcv()' documentation for details.

A list with the following elements:

`lambda`	The values of lambda used in the fits.
`cvm`	The mean cross-validated error: a vector of length 'length(lambda)'.
`cvsd`	Estimate of standard error of 'cvm'.
`cvup`	Upper curve = 'cvm + cvsd'.
`cvlo`	Lower curve = 'cvm - cvsd'.