Update LICENSE
Upstream changes:
30 May 2014: statmod 1.4.20
- Considerable work on the inverse Gaussian functions dinvgauss(),
pinvgauss(), qinvgauss() and rinvgauss(). The parameter arguments
are changed to mean, shape and dispersion instead of mu and lambda.
The functions now include arguments lower.tail and log.p, meaning
that right-tailed probabilities can be used and probabilities can
be specified on the log-scale. Good numerical precision is
maintained in these case. The functions now respect attributes,
so that a matrix argument for example will produce a matrix result.
Checking is now done for missing values and invalid parameter
values on an element-wise basis. A technical report has been
written to describe the methodology behind qinvgauss().
- This file has been renamed to NEWS instead of changelog.txt.
- The introductory help page previously called 1.Introduction is now
named statmod-package.
13 April 2014: statmod 1.4.19
- qinvgauss() now uses a globally convergent Newton iteration, which
produces accurate values for a greater range of parameter values.
- glmnb.fit() now supports weights.
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