|File: [cvs.NetBSD.org] / pkgsrc / math / R-VGAM / Makefile (download)
Revision 1.2, Fri Jun 1 07:10:54 2018 UTC (4 years, 8 months ago) by wen
CVS Tags: pkgsrc-2018Q2-base, pkgsrc-2018Q2
Changes since 1.1: +2 -2
Update to 1.0.5
CHANGES IN VGAM VERSION 1.0-5
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
o "vglm" objects have a new "charfun" slot, for the
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',
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(),
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].