the method employed to estimate entropy (see Details).
unit
the unit in which entropy is measured.
The default is "nats" (natural units). For
computing entropy in "bits" set unit="log2".
lambda.freqs
shrinkage intensity (for "shrink" option).
verbose
verbose option (for "shrink" option).
...
option passed on to entropy.NSB.
Details
The entropy function allows to estimate entropy from observed counts by a variety
of methods:
method="ML":maximum likelihood, see entropy.empirical
method="MM":bias-corrected maximum likelihood, see entropy.MillerMadow
method="Jeffreys":entropy.Dirichlet with a=1/2
method="Laplace":entropy.Dirichlet with a=1
method="SG":entropy.Dirichlet with a=a=1/length(y)
method="minimax":entropy.Dirichlet with a=sqrt(sum(y))/length(y
method="CS":see entropy.ChaoShen
method="NSB":see entropy.NSB
method="shrink":see entropy.shrink
The freqs function estimates the underlying bin frequencies. Note that
estimated frequencies are not
available for method="MM", method="CS" and method="NSB". In these
instances a vector containing NAs is returned.
Value
entropy returns an estimate of the Shannon entropy.
freqs returns a vector with estimated bin frequencies (if available).