https://github.com/cran/lmtest
Tip revision: 53970bce858228607f918a60214d8e1969b5a604 authored by Achim Zeileis on 09 September 2020, 04:30:11 UTC
version 0.9-38
version 0.9-38
Tip revision: 53970bc
NEWS
Changes in Version 0.9-38
o coeftest.default() now includes attributes for "nobs" and "logLik" provided
that nobs() and logLik() extractors are available. This is in order to
facilitate model summaries a la broom::glance for "coeftest" objects
(suggested by Grant McDermott). The attributes can be extracted again
from the coeftest object with nobs() and logLik(), respectively.
o Optionally, the entire original model object x is saved as an attribute
"object" in coeftest(x, save = TRUE). Like nobs/logLik above, this should
also facilitate model summaries.
o waldtest.default() is stricter about detecting non-nestedness of models,
e.g., when under the alternative variables are added but the intercept
dropped.
o waldtest.lm() now uses . ~ 0 as the default reference model if waldtest(object)
tests an object without intercept (suggested by Kevin Tappe).
Changes in Version 0.9-37
o coeftest() gained a "df" attribute facilitating subsequent processing
of its output, e.g., for computing the corresponding confidence intervals.
Suggested by Alex Hayes in https://github.com/tidymodels/broom/issues/663.
o Based on the new "df" attribute of "coeftest" objects, a method for
confint() is added. confint(coeftest(object, ...)) should match the output
of coefci(object, ...).
o Based on the new "df" attribute of "coeftest" objects, a method for
df.residual() is added. df.residual(coeftest(object, ...)) returns NULL
if a normal (rather than t) approximation was used in
coeftest(object, ...) even if df.residual(object) returned something
different.
Changes in Version 0.9-36
o resettest() gained a vcov and ... argument that - if present - are
passed to waldtest() to carry out the F test. This enables the
usage of robust sandwich covariances etc.
o Various documentation improvements suggested by Kevin Tappe.
o Added native routine registration for pan.f.
Changes in Version 0.9-35
o Added a new function coefci() to accompany coeftest() for computing
the Wald confidence intervals for coefficients, e.g., based on
sandwich covariances.
o The default coeftest() method -- and also coefci() -- now pass the
... arguments on to the vcov.() function argument (if any).
o Fixed bug in bptest() for degrees-of-freedom calculation when
some regressors are aliased/collinear. Reported by Amrei Luise
Stammann.
o Various documentation improvements suggested by Kevin Tappe.
Changes in Version 0.9-34
o Registered all default methods as S3 methods (in addition to fully
exporting them).
o Reference output updated for recent versions of R.
Changes in Version 0.9-33
o Extended license to GPL-2 or GPL-3.
o To make resettest() results numerically more reliable (especially
for type = "fitted" when the fitted mean is large), the response
is internally scaled.
o The default coeftest() method checks whether coef() and vcov()
output has unique names (which they may not have for some model
classes, e.g., sampleSelection::selection).
Changes in Version 0.9-32
o Small improvements in residual degrees of freedom computation
within default waldtest() method.
o Updated Imports/Suggests to conform with current R CMD check.
Changes in Version 0.9-31
o Included Farebrother/Cummins as "aut" in DESCRIPTION for pan.f
Fortran code.
o Made starting values in the auxiliary regression of bgtest()
optional. By default still 0, but could also be NA.
o Avoid spurios errors about missing nobs() methods in lrtest().
Changes in Version 0.9-30
o coeftest(), lrtest(), and waldtest() can now also be used for
S4 objects provided that methods to the corresponding S4 generics
from stats4 are supplied.
o Added output of examples and vignettes as .Rout.save for
R CMD check.
o Moved vignette to "vignettes" directory in source package.
Changes in Version 0.9-29
o dwtest() now catches weighted regressions and throws an error
because weighted regressions are not supported (yet).
o bgtest() now returns an object of class "bgtest" (inheriting from
"htest"). This has coef(), vcov() and df.residual() methods
- and thus enable calling coeftest() - to show the results of the
auxiliary regression.
Changes in Version 0.9-28
o Fixed typo in print output of dwtest() for two-sided alternatives.
o Fixed problem in coeftest() method for "breakpointsfull" objects
(from strucchange). The vcov() method was not called correctly,
resulting in an error.
Changes in Version 0.9-27
o Modified grangertest() default method to workaround a bug
in as.zoo().
Changes in Version 0.9-26
o added coeftest() method for "mlm" objects
(needed for matching coef() output to vcov() method)
Changes in Version 0.9-25
o enhanced documentation for new Rd parser.
Changes in Version 0.9-24
o Added new specification test: PE test for linear vs.
log-linear specification in linear regressions is
now available as petest().
Changes in Version 0.9-23
o enhanced documentation for new Rd parser.
Changes in Version 0.9-22
o included lmtest.bib in inst/doc for vignette.
o removed \itemize in .Rd files for new R-devel.
Changes in Version 0.9-21
o corrected degrees of freedom for bgtest(..., type = "F")
(bug spotted by Oscar Becerra).
Changes in Version 0.9-20
o fixed error in Mandible data. Mandible[158,2] was 34 but
should really be 37 (see Table 1 in Royston & Altman 1994).
Spotted by Christian Ritz.
Changes in Version 0.9-19
o changed the default behaviour of waldtest.default():
Chisq test (instead of F test) is now used by default
which is more sensible for most models (with linear
models as a notable exception).
o added waldtest.lm() method that switches the default
test back to F test (instead of Chisq test).
Changes in Version 0.9-18
o forgot to export print() method for "coeftest" objects
Changes in Version 0.9-17
o added NAMESPACE
o improved dependency declaration in DESCRIPTION
Changes in Version 0.9-16
o updated all .rda data sets to RDX2
o enhanced sanity checking in dwtest()
Changes in Version 0.9-15
o new generic with flexible default method for lrtest(),
implementing asymptotic likelihood ratio tests. This works
if a logLik() method is provided and suitable methods for
updating models and checking consistency.
o simplified print output in coeftest()
Changes in Version 0.9-14
o now a default method for waldtest() is provided (replacing the
lm method). It works for "lm", "glm" and "survreg" objects.
Furtheremore, it is object-oriented and generally works if the
following methods are available: terms(), formula(), coef() (which
needs to be named, matching the names in terms() and vcov()),
vcov() (which can alternatively be user-supplied), df.residual(),
residuals() and update() (unless only fitted objects are supplied).
o the default coeftest() was enhanced, works now out of the box for
"mle" objects, a "survreg" method is added (needed because coef()
and vcov() do not necessarily match for "survreg" objects).
o the vcov argument was changed (almost) everywhere to vcov. to
avoid name clashes with the vcov() function.