Maximum likelihood estimation of the degrees of freedom for a chi-squared distribution.
The degrees of freedom is treated as a parameter to be estimated, and as real (not integer). Being positive, a log link is used by default. Fisher scoring is used.
An object of class
The object is used by modelling functions such as
Multiple responses are permitted. There may be convergence problems if the degrees of freedom is very large or close to zero.
T. W. Yee
Forbes, C., Evans, M., Hastings, N. and Peacock, B. (2011). Statistical Distributions, Hoboken, NJ, USA: John Wiley and Sons, Fourth edition.
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Loading required package: stats4 Loading required package: splines VGLM linear loop 1 : loglikelihood = -3389.5166 VGLM linear loop 2 : loglikelihood = -3275.6358 VGLM linear loop 3 : loglikelihood = -3275.4909 VGLM linear loop 4 : loglikelihood = -3275.4909 loge(df1) loge(df2) (Intercept) 0.9539312 1.991984 x2 -0.9403747 -2.051279
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