lognlike
              Negative log-likelihood for the lognormal distribution.
 nlogL = lognlike (params, x) returns the negative
 log-likelihood of the data in x corresponding to the lognormal
 distribution with (1) location parameter mu and (2) scale parameter
 sigma given in the two-element vector params, which correspond to
 the mean and standard deviation of the associated normal distribution.
 Missing values, NaNs, are ignored.  Negative values of x are
 treated as missing values.
If a random variable follows this distribution, its logarithm is normally distributed with mean mu and standard deviation sigma.
 [nlogL, avar] = lognlike (params, x)
 returns the inverse of Fisher’s information matrix, avar.  If the input
 parameter values in params are the maximum likelihood estimates, the
 diagonal elements of avar are their asymptotic variances.  avar
 is based on the observed Fisher’s information, not the expected information.
 […] = lognlike (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)).
 […] = lognlike (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 lognormal distribution can be found at https://en.wikipedia.org/wiki/Log-normal_distribution
See also: logncdf, logninv, lognpdf, lognrnd, lognfit, lognstat
Source Code: lognlike