logllike
              Negative log-likelihood for the log-logistic distribution.
 nlogL = logllike (params, x) returns the negative
 log likelihood of the data in x corresponding to the log-logistic
 distribution with (1) scale parameter a and (2) shape parameter b
 given in the two-element vector params.
 [nlogL, acov] = logllike (params, x) also
 returns the inverse of Fisher’s information matrix, acov.  If the input
 parameter values in params are the maximum likelihood estimates, the
 diagonal elements of params are their asymptotic variances.
 […] = logllike (params, x, censor) accepts a
 boolean vector, censor, of the same size as x with 1s for
 observations that are right-censored and 0s for observations that are
 observed exactly.  By default, or if left empty,
 censor = zeros (size (x)).
 […] = logllike (params, x, censor, freq)
 accepts a frequency vector, freq, of the same size as x.
 freq typically contains integer frequencies for the corresponding
 elements in x, but it can contain any non-integer non-negative values.
 By default, or if left empty, freq = ones (size (x)).
Further information about the loglogistic distribution can be found at https://en.wikipedia.org/wiki/Log-logistic_distribution
OCTAVE/MATLAB use an alternative parameterization given by the pair , i.e. mu and sigma, in analogy with the logistic distribution. Their relation to the and parameters used in Wikipedia are given below:
mu = log (a)
 sigma = 1 / a
 See also: loglcdf, loglinv, loglpdf, loglrnd, loglfit, loglstat
Source Code: logllike