### Function Reference: `invgrnd`

statistics: r = invgrnd (mu, lambda)
statistics: r = invgrnd (mu, lambda, rows)
statistics: r = invgrnd (mu, lambda, rows, cols, …)
statistics: r = invgrnd (mu, lambda, [sz])

Random arrays from the inverse Gaussian distribution.

`r = invgrnd (mu, lambda)` returns an array of random numbers chosen from the inverse Gaussian distribution with location parameter mu and scale parameter lambda. The size of r is the common size of mu and lambda. A scalar input functions as a constant matrix of the same size as the other inputs.

When called with a single size argument, `invgrnd` returns a square matrix with the dimension specified. When called with more than one scalar argument, the first two arguments are taken as the number of rows and columns and any further arguments specify additional matrix dimensions. The size may also be specified with a row vector of dimensions, sz.

The inverse Gaussian CDF is only defined for `mu > 0` and `lambda > 0`.

Further information about the inverse Gaussian distribution can be found at https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution

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

Source Code: invgrnd