Performance Measure Estimator Standard Error

Compute the standard error of the mean of the data using glmnet_exp

1 2	SE.glmnet_exp(data, ..., d = 7, alpha.EN = 0.5, keep = 1, standardize = FALSE, return.coeffs = FALSE, prewhiten = FALSE)

`data`	vector of data
`d`	degree of polynomial
`keep`	what portion of sample spectral density to use for model fitting
`alpha`	weight for Elastic Net regularizer

variance of the mean of the data

chenx26/EstimatorStandardError documentation built on May 13, 2019, 3:53 p.m.

chenx26/EstimatorStandardError index

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