2f18a0cdea
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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