Changes to Version 3.0-13
o Handle singularities better in Anova.mlm() (suggestion of Marius Barth).
o Fixed error reporting in logit() (bug reported by Collin Erickson).
o Added pt.cex and cex sub-arguments to legend argument of
scatterplotMatrix() (implicit suggestion of Duncan Mackay).
o New vif.lm() method with options for handling linear models with interactions.
o Fixed bug in cooks.distance.influence.lme() (in effect, incorrect
division by the error variance twice rather than once), and a sign
error in dfbeta.influence.lme() and dfbetas.influence.lme()
(following report by Ben Bolker).
o Added an error.df argument to the default methods of
linearHypothesis() and Anova() for computing F-tests; if the
argument is unspecified, then df.residual() is applied to the model,
and if df.residual() returns NULL or NA, then an asymptotic
chi-square test is substituted for the F-test (in response to a
report by Adrian Olszewski that Anova() fails for gls models when an
F-test is requested).
Changes to Version 3.0-12
o The 'rio` package is now suggested, not required. To use the
Import() and Export() functions users may need to install rio using
install.packages("rio")
o hccm() now reports an interpretable error, except for type = "hc0"
or "hc1", when there are cases with hatvalues = 1 (following problem
reported by Peng Ding).
o Fix bug in rownames in dfbetasPlots.lm() (reported by Shu Fai
Cheun).
o Package 'rio' was moved from Imports to Suggests. Both Import()
and Export() now check for the availability of 'rio' first and
report an error otherwise.
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