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authorwen <wen@pkgsrc.org>2018-06-01 07:10:54 +0000
committerwen <wen@pkgsrc.org>2018-06-01 07:10:54 +0000
commit39324ad7b388ae694f19eb81411917a9896975c9 (patch)
tree90581bf253523a3bad61dc43dee3725f1ac87620 /math/R-VGAM/Makefile
parent2303ecfd48139c1896beab735b859fa34e7dc892 (diff)
downloadpkgsrc-39324ad7b388ae694f19eb81411917a9896975c9.tar.gz
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].
Diffstat (limited to 'math/R-VGAM/Makefile')
-rw-r--r--math/R-VGAM/Makefile4
1 files changed, 2 insertions, 2 deletions
diff --git a/math/R-VGAM/Makefile b/math/R-VGAM/Makefile
index 3005ac86430..fd0e1779d28 100644
--- a/math/R-VGAM/Makefile
+++ b/math/R-VGAM/Makefile
@@ -1,4 +1,4 @@
-# $NetBSD: Makefile,v 1.1 2018/01/22 19:22:44 minskim Exp $
+# $NetBSD: Makefile,v 1.2 2018/06/01 07:10:54 wen Exp $
CATEGORIES= math
MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/}
@@ -9,7 +9,7 @@ COMMENT= Vector Generalized Linear and Additive Models
LICENSE= gnu-gpl-v2
R_PKGNAME= VGAM
-R_PKGVER= 1.0-4
+R_PKGVER= 1.0-5
USE_LANGUAGES= c fortran