### Function Reference: `invglike`

statistics: nlogL = invglike (params, x)
statistics: [nlogL, acov] = invglike (params, x)
statistics: […] = invglike (params, x, censor)
statistics: […] = invglike (params, x, censor, freq)

Negative log-likelihood for the inverse Gaussian distribution.

`nlogL = invglike (params, x)` returns the negative log likelihood of the data in x corresponding to the inverse Gaussian distribution with (1) scale parameter mu and (2) shape parameter lambda given in the two-element vector params.

`[nlogL, acov] = invglike (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.

`[…] = invglike (params, x, censor)` accepts a boolean vector, censor, of the same size as x with `1`s for observations that are right-censored and `0`s for observations that are observed exactly. By default, or if left empty, `censor = zeros (size (x))`.

`[…] = invglike (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 inverse Gaussian distribution can be found at https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution

See also: invgcdf, invginv, invgpdf, invgrnd, invgfit, invgstat

Source Code: invglike