--- - branch: MAIN date: Fri Jun 1 07:10:54 UTC 2018 files: - new: '1.2' old: '1.1' path: pkgsrc/math/R-VGAM/Makefile pathrev: pkgsrc/math/R-VGAM/Makefile@1.2 type: modified - new: '1.2' old: '1.1' path: pkgsrc/math/R-VGAM/distinfo pathrev: pkgsrc/math/R-VGAM/distinfo@1.2 type: modified id: 20180601T071054Z.5456feae12b4289a2fc450d3bec55b8cc8c78833 log: | Update to 1.0.5 Upstream changes: CHANGES IN VGAM VERSION 1.0-5 NEW FEATURES o extlogit() now handles 'deriv = 3'. o Generic function hdeff() implements an analytic solution for the following families: borel.tanner(), felix(), lindley(). For almost all other families, finite-difference approximations to derivatives means that first and second derivatives can be computed, even with models with 'xij' terms. o Generic function wald.stat() implements Wald tests with SEs evaluated at the null values, not at the original MLE, so do not suffer from the Hauck-Donner effect. o "vglm" objects have a new "charfun" slot, for the characteristic function. o "summary.vglm" and "summary.vlm" objects have new "coef4lrt0", "coef4score0", "coef4wald0" slots, for storing the 'Wald table' equivalent of LRTs, score tests and modified Wald tests. The latter has its SEs computed at the null values with the other coefficients obtained by further IRLS iterations, etc. Function summaryvglm() has arguments 'lrt0.arg', 'score0.arg', 'wald0.arg'. o TIC() is new, for the Takeuchi's Information Criterion. Thanks to Khedhaouiria Dikra for suggesting this. o mills.ratio() and mills.ratio2() are exported. o New functions: lrt.stat(), score.stat(), wald.stat(), which.etas(), which.xij(). o cauchy1() and cauchy() handle multiple responses and have been modernized a bit. o Tested okay on R 3.4.3. BUG FIXES and CHANGES o Setting 'deriv.arg' a positive value in plotvgam() when there are no s() terms results in a warning. Thanks to Barry Goodwin for detecting this. o cens.poisson() can better handle large lambda values, at least for left and right censored data (but not for interval-censored data yet). Thanks to Eugenie Hunsicker for picking up deficiencies in the code. o In multinomial.Rd, it was stated that setting parallel = TRUE did not make the intercepts the same. It does make them the same. Thanks to Stuart Coles for picking this up. o binomialff(multiple.responses = TRUE) returned an incorrect deviance. o bilogistic() uses SFS rather than BFGS as its algorithm. o Deprecated: lrp(), normal1() [use uninormal() instead]. module: pkgsrc subject: 'CVS commit: pkgsrc/math/R-VGAM' unixtime: '1527837054' user: wen